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Investment Professional Alternative Cross-Asset Strategies (“ACAS”) Group Full-time Hybrid (Boston, MA or New York, NY) The Opportunity Join a fundamental value-oriented investment team focused on generating attractive risk-adjusted investment performance over a long-term time horizon across a wide spectrum of asset types. The strategy is a flexible and opportunistic mandate to invest across traditional corporate capital structures as well as other less traditional asset classes and strategies, in either private or public form. This position will provide a unique opportunity to execute investments in different markets and stages from start to finish. The successful candidate will be open-minded and enjoy solving challenges, no matter the issue, while possessing a collaborative and team-first mentality. Various potential investments may include leveraged loans, high yield bonds, convertible or hybrid securities, distressed or event-driven situations, private or public equity, joint-ventures/seed investments, asset-backed credit/structured products, and selective private partnerships. Functionally this role is a cross-asset or hybrid investment position that will allow for shifting across different investment strategies and asset classes in search of asymmetric risk/reward. The Team This position is within a newly-formed focus area inside of the Alternatives team that is small and collaborative with various members across different verticals, and experience levels, including credit, real estate, private equity, and other investments. Team members wear multiple different hats and are motivated by a shared goal to source, research, analyze, and execute on unique investment opportunities, that generally target equity-oriented returns with a distinct focus on risk and downside protection, typically with creditor lens. This position will support broader Investment Management and our entire organization. The Impact This Position will be a critical team member capable of material contributions supporting all aspects of the investment process and leading in certain cases where appropriate. Specific work streams will focus on and include but are not limited to financial modeling; research and analysis; investigative due diligence, producing investment memos; legal review, and general critical thinking/problem-solving. Given the flexibility of this role, the different investments/security types, and asset classes, this individual should be comfortable, or seek to gain comfort, in shifting perspectives as needed, based on the underlying investment and situational context. Day-to-day responsibilities for this role may include, but are not limited to: • Analyzing public or private investment opportunities, • Reviewing financial and legal documents as well as other forms of due diligence or market intelligence, • Developing, updating, and maintaining financial models or other analytical tools, • Preparing and presenting investment recommendations, • Presenting and communicating analysis, research, and conclusions while soliciting feedback; audience may include colleagues and external stakeholders, • Driving a process from start to finish with various levels of independence when appropriate The Minimum Qualifications • Bachelor's Degree, • 2+ years of experience (including internship experience) in investment research, turnaround/restructuring consulting, distressed/stressed credit, legal due diligence, and/or related role(s), • 2+ years of experience (including internship experience) in bottoms-up financial modeling and analytic skills The Ideal Qualifications • Industry/sector knowledge in one core, or multiple, different sub-sectors, industries, along with a desire to explore other different areas of opportunity, • Experience in, or exposure to, public and private investments and a working knowledge of different alternative asset classes and capital structures, • Professional experience in complex situations, difficult negotiations, and/or businesses undergoing material change, • Background in, or experience with, an event-driven or fundamental value-oriented multi-strategy alternative investment approach, distress/corporate restructurings, turnaround consulting, private equity, or a related advisory role, • Ability to work with all seniority levels as well as a desire to maintain and grow strong relationships, • Desire to work in a small, collaborative team with shifting responsibilities and areas of focus, • Strong communication skills and deep attention to detail, • Interest in multiple different investment types/strategies and a fundamental value-oriented approach to investment analyses What You Can Expect at MassMutual • MassMutual offers the opportunity to do meaningful work within a purpose-driven organization that values long-term impact over short-term outcomes. In this role, you can expect:, • Clear areas of ownership and accountability, with work that connects directly to company and customer outcomes, • A collaborative environment where perspectives are welcomed, • Access to learning, development, and internal networks that support continuous growth and skill-building over time, • Employee-led communities and forums that foster connection, learning, and inclusion across the organization, • A culture grounded in integrity, responsibility, and stewardship—supported by a company with a strong legacy and a future-focused mindset We encourage applicants to include a cover letter sharing your interest in this role and why your background and experience is relevant to the opportunity. #LI-FT1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

Grow Your Career with Morgan Properties -Floating Service Technician Opening Earn a $1,200 Sign-On Bonus. Looking for more than just another maintenance job? Join Morgan Properties as a Floating Service Technician and bring your experience to a team that values your skills, recognizes your hard work, and supports your career growth. Our 120-unit apartment community in Franklin Lakes, NJ is seeking a dependable, hands-on Floating Service Technician who enjoys troubleshooting, solving problems, and helping residents feel at home. You'll use your skills across HVAC, plumbing, electrical, appliances, carpentry, and general maintenance while continuing to build your experience and expand your knowledge. At Morgan Properties, we believe great communities start with great teams. We foster a culture built on respect, accountability, teamwork, and continuous development, giving you the opportunity to strengthen your skills, take on new challenges, and build a long-term career. What You'll Be Doing As a Floating Service Technician, you will: • Troubleshoot and repair maintenance issues including HVAC, appliances, plumbing, electrical, and carpentry, • Maintain the interior and exterior condition of the community in accordance with company standards and safety requirements, • Respond promptly and professionally to resident maintenance requests, • Diagnose problems and complete quality repairs efficiently and accurately, • Communicate effectively with residents and office team members regarding repairs and project updates, • Help prepare apartment homes for new residents and ensure they meet company standards, • Provide support where needed while contributing to an efficient and collaborative maintenance team, • Deliver a positive resident experience through quality workmanship and exceptional customer service, • Support emergency maintenance needs and participate in the on-call rotation Compensation & Incentives • $22.00 - $25.00 per hour, • $1,200 Sign-On Bonus, • Up to 50% Rent Discount, • Property Staff Shared Renewal Commissions, • Morgan Essentials: $300 Quarterly, • On-Call Appreciation: $15/day for holding the on-call phone, • Medical, Dental, and Vision Benefits, • 401(k) Retirement Plan with Company Match, • Generous Paid Time Off, including 10 paid holidays and sick leave Hours & Schedule • Monday – Friday: 8:00 AM – 4:30 PM, • Paid rotating on-call participation required, • Must be available and prepared for emergency situations and weather-related events Schedule subject to change based on business needs. What We're Looking For • Active, valid driver's license and reliable personal vehicle, • Ability to live within a 30-minute commute of the property, • HVAC / EPA / CFC certification preferred, • One to three years of maintenance experience or an equivalent combination of education and experience, • Hands-on experience with plumbing, electrical, appliances, HVAC, carpentry, or general building maintenance, • Strong troubleshooting and problem-solving abilities across multiple trades, • Comfort working independently while also contributing to a team, • Customer-focused mindset with strong communication skills, • Dependable, motivated team player who takes ownership of their work, • Desire to continue learning, developing new skills, and growing within the maintenance field #AC6129 If you are hired at Morgan Properties, your overall compensation package will also be determined based on factors such as geographic location, skills, education, and/or experience which may result in total compensation outside of this range. Get To Know Us: Established in 1985, Morgan Properties is a national real estate investment and management company headquartered in Conshohocken, Pennsylvania, with a corporate office in Rochester, New York. Morgan Properties and its affiliates pursue a diversified investment strategy focusing on multifamily equity investments, commercial mortgage-backed securities, preferred equity, and whole loans. Morgan Properties and its affiliates own and manage a multifamily portfolio comprising over 110,000 units across more than 400 communities in 22 states – the company is consistently one of the largest owners of multifamily in the country. Additionally, the company has made investments in commercial mortgage-backed securities backed by over $40 billion in multifamily loans. With over 2,500 employees, Morgan Properties prides itself on its quick decision-making capabilities, strong capital relationships, and proven operational expertise. For more information, please visit _

Overview: Responsible in managing, leading, coordinating, and administering multiple projects at separate locations from the conceptual stages through planning, engineering, procurement, construction, start-up, performance testing, initial operations, and prime contract close-out. Responsible for assisting Business Development in expanding current work scope, developing proposal technical and pricing strategies and preparing proposal execution strategies/plans. Also supports communications and presentations to customers. Supervises the development of budgets and schedules, manages performance, reports progress, and initiates action to assure project objectives and schedules are met and work is performed within budget and according to specifications. Resolves problems and manages the final turnover of the project to the customer. Provides leadership for the development and maintenance of a high-performance project team. Has overall management responsibility for project execution, ensuring the project is delivered within contract requirements, standards of ethics, quality and safety and to Customer and Lemartec performance expectations. The Project Director (PD), will lead a team of senior project managers, project managers, field staff and assigned support staff across various projects, and is responsible for managing those projects at a strategic level. The PD is the primary point of contact, managing the project teams, resources and financials, to ensure that the projects deliver value to stakeholders, are delivered to industry best standards of quality and safety, on schedule, on budget, and meet technical and contractual requirements required. The PD regularly reviews progress reports and acts to align the development of the project within the broader goals of the organization through staffing, financial, or other adjustments. The PD will provide coaching, guidance, direction, and leadership to the project teams in relation to various issues, risks, activities, general management and project approach. Location & Travel Details You’ll get the opportunity to travel across the US, helping our team build infrastructure projects. This is a traveling position, requiring travel up to 100% of the time. You may support projects located in various states throughout the US. Potential project locations may include, but are not limited to, PA, KS, NC, SC, VA, GA, TX, FL, IA, WY, and additional locations are added frequently as our organization continues to grow. Company Overview Founded in 1979, Lemartec is a national general contractor and construction management firm and is part of the General Building group within MasTec’s Clean Energy and Infrastructure segment. As MasTec’s vertical construction arm, Lemartec delivers complex projects across industrial, aviation, power, and large commercial markets. Led at the segment level by Manny García-Tuñón, the General Building Operating Group represents MasTec’s vertical construction capabilities and serves as the platform for future growth in this space. As a MasTec company, Lemartec maintains international capabilities and strategic partnerships throughout the Americas and the Caribbean, enabling the execution of some of the most complex projects in the industries we serve. Through MasTec’s network of more than 22,000 professionals and subject matter experts in Engineering, Procurement, and Construction across over 400 locations throughout North America and the Caribbean, Lemartec is uniquely positioned to serve a diversified customer base. With experience across all 16 disciplines of construction, Lemartec combines deep technical expertise with the strength, scale, and financial backing of MasTec to successfully deliver projects of any size and complexity. MasTec’s Clean Energy & Infrastructure (CE&I) segment generates over $4 billion in annual revenue, providing construction services across industrial, renewables, and infrastructure sectors. In infrastructure, we specialize in general heavy civil construction, underground utilities, structures, electrical work, material production, roadways, bridges, specialty pavement overlays, environmental projects, and commercial buildings. Sustainability and safety are foundational to our culture and influence everything we do. MasTec, a minority-owned Fortune 500 company, has shaped the construction industry for more than 90 years. With over 35,000 employees and 400 offices nationwide, we provide flexibility and career growth in dynamic work environments. Join one of the largest construction firms in the country (Engineering News-Record [ENR]: #1 in Power, #17 Top 50 Domestic Heavy Contractors, #20 Transportation Contractor). Responsibilities: Supervision Received • Reports to and receives strategic project (P&L) guidance from the assigned Vice President of Strategic Operations., • Receives functional and technical guidance from the Director of Project Services. Supervision Exercised • Provides direction to assigned project reports, including senior project managers, project managers, field staff, and assigned support staff across various projects. Contacts • Acts as the principal contact for the project scope of work with Customers and Lemartec management throughout the duration of the project., • Maintains contact with management personnel from suppliers, subcontractors, and governmental agencies as appropriate., • Maintains management-level relationships with other participating entities responsible for performing services in connection with the project, including organizations in the community. Project Planning & Execution • Assists Business Development in developing win plans, preliminary project execution plans, estimating plans, proposal plans, proposals, and contract formulation., • Reviews draft prime contract and proposal documents; develops prime contract strategy and plan., • Participates in prime contract negotiations, including client/customer deliverables and schedules., • Ensures proper and clear Division of Responsibility (DOR) and integrated work processes., • Establishes an appropriate, integrated organizational structure, including off-project functional and specialist support., • Defines and communicates roles, responsibilities, and authorities to project team members and the Customer to ensure project completion safely, on budget, on schedule, and in compliance with standards and regulations., • Ensures scope, design basis, and objectives are defined, best practices/lessons learned reviewed, and detailed work plans, schedules, budgets, and procedures are established, including Project Execution Plan and Contract Management Plan., • Promotes constructability reviews during project execution. Project Monitoring & Control • Monitors and controls all contractual commitments to ensure compliance with specifications, drawings, and terms of the contract., • Implements and maintains a change management control system; ensures all Customer communications on the prime contract are documented., • Facilitates development, communication, implementation, update, and continual use of the Project Execution Plan., • Reviews and approves Project Control systems to measure progress/performance, provide early warning of deviations, and identify corrective actions., • Identifies quality requirements and ensures processes achieve contractual quality commitments; assesses customer perception of quality periodically., • Oversees the Environmental, Health & Safety program for office, field, and subcontractor activities., • Ensures design complies with applicable EH&S laws and regulations., • Oversees Document Control and Records Management; coordinates documentation and software turnover packages to the client., • Reviews and approves bid tabulations for major purchase orders, contracts, and subcontracts; approves critical changes per delegated authority., • Directs the preparation and presentation of Project Status Reports (PSR) to Lemartec management., • Monitors cash flow, informs the Customer of cash requirements, and controls budget for non-reimbursable costs., • Assists in training new project managers and personnel; establishes plans for ongoing training opportunities., • Promotes Continuous Improvement (CI) and Total Installed Cost (TIC) concepts across project teams; encourages team building., • Conducts periodic project and Customer meetings to promote communication, review progress, discuss issues, and facilitate problem resolution., • Manages documentation Project / Program Management • Manages strategic aspects of large engagements and mitigates risk., • Oversees Project Managers and managers on client engagements., • Reviews high-level deliverables across practice., • Ensures engagement reviews and quality assurance procedures occur., • Provides leadership across all assigned projects., • Develops, implements, and maintains sound business practices and strategic objectives aligned with Lemartec initiatives. Project Financial Reporting • Reports profit and loss figures; consolidates and analyzes profitability, revenue, margins, bill rates, and utilization., • Creates pipeline forecasts and broad-based financial pictures., • Addresses and resolves billing issues., • Ensures practice meets or exceeds budgeted financial objectives., • Develops and meets revenue and financial goals; negotiates contract pricing when necessary. Business Development • Provides leadership and guidance throughout the sales cycle., • Leads strategic account identification and development., • Engages Business Development as appropriate to achieve sales goals., • Manages business development at a strategic level., • Grows long-term client relationships and capitalizes on partnership opportunities. Communication • Keeps practice informed of changes and newsworthy events within Lemartec., • Communicates relevant practice information to the Director of Construction Operations., • Handles difficult personnel situations with discretion, HR advice, and respect., • Promotes Lemartec via industry conferences and local business organizations., • Technical Understanding, • Evaluates and redesigns practice offerings., • Guides clients on technical solutions. Teamwork • Reinforces a team approach on client projects and internal initiatives., • Supports and solicits input from all team levels., • Ensures regular team and practice events occur outside the office. Client Management • Communicates with clients to identify needs and evaluate business solutions., • Continuously seeks to increase customer satisfaction and deepen relationships., • Maintains lasting client relationships and resolves issues at a senior level. Innovator Development • Enforces performance evaluation and career development programs., • Guides Project Managers on career planning importance., • Creates an environment for professional growth., • Assigns tasks to managers that enable growth opportunities. Internal Operations • Reviews status reports of Project Managers; addresses issues as appropriate., • Provides expertise to internal teams and task forces., • Enforces standard policies and procedures., • Maintains knowledge of Lemartec organization, policies, QA/QC, Safety, and industry processes., • Organizes and staffs project teams effectively within a matrix organization., • Applies knowledge of front-end activities, including Best Practices, Constructability, Risk Analysis, Contingency Evaluation, and Estimate/Proposal Review Process., • Uses Lemartec standard tools and procedures for Project Controls, Financial Management (PSR, Sage), Automation, Records Management (Procore), and Root Cause Analysis., • Develops and implements project baselines: Scope Definition, Roles/Responsibilities, Estimates, Resource-Loaded Schedules, Progress/Performance Metrics, Reports, and Action Tracking., • Demonstrates business and commercial awareness, including cash flow management and conserving Lemartec capital., • Experienced in Project Execution Plan development, Continuous Improvement, Schedule Management, Prime Contract/Subcontract formulation, Risk Analysis, Negotiations, Change Control, Cost Trend Programs, Documentation Management, Insurance, and Bonding., • Possesses strong oral, written, graphic communication, and presentation skills., • Conducts effective meetings. Qualifications: Work Experience and Education Bachelor’s degree in Architecture, Engineering, or Construction Management. 15 years of experience as a Senior Project Manager on commercial and/or industrial projects. 5 years of experience as a Project Director. Knowledge, Skills, and Abilities • Ability to travel within the U.S., • Experience managing projects exceeding $250M in value., • Design-build project experience., • Experience with budget control and value engineering., • In-depth knowledge of all design disciplines, specifications, and drawings., • Proficiency in planning and scheduling using Primavera P6., • Advanced skills with Microsoft Office Suite – Excel, Word, Outlook., • Working knowledge of standard construction accounting software – Viewpoint Vista, Sage 300 CRE, etc., • Working knowledge of standard Project Management software – Procore., • Excellent communication, presentation, and interpersonal skills., • High degree of professionalism and strong work ethic., • Preferred Bilingual: English/Spanish What's in it for You Financial Wellbeing • Competitive pay with ongoing performance review and merit increase, • 401(k) with company match & Employee Stock Purchase Plan (ESPP), • Flexible spending account (Healthcare & Dependent care) Health & Wellness • Medical, Dental, and Vision insurance (plan choice) - coverage for spouse, domestic partner, and children, • Diabetes Management, Telehealth Coverage, Prescription Drug Plan, Pet Insurance, Weight Management Drug Discount Discounted National Gym Membership Network Family & Lifestyle • Paid Time Off, Paid Holidays, Bereavement Leave, • Military Leave, including Benefits Continuation, • Employee Assistance Program Planning for the Unexpected • Short and long-term disability, life insurance, and accidental death & dismemberment, • Voluntary life insurance, accident, critical illness, and hospital indemnity coverage, • Emergency Travel Assistance Program, • Group legal plan Position may be subject to pre-employment screening, which may include background check and drug testing. Accessibility: If you need accommodation as part of the employment process, contact ceicareers@mastec.com. Due to the high volume of applications received, we are unable to respond to individual requests regarding application status. Please log into your candidate profile for up-to-date information. MasTec, Inc. is an Equal Employment Opportunity Employer. The Company's policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, genetic information, military status, or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. It is also MasTec's policy to comply with all applicable state, federal and local laws respecting consideration of unemployment status in making hiring decisions. Disclaimer: MasTec and our Subsidiaries will never ask prospective employees for any form of payment or money transfer as part of job application or onboarding. We do not ask prospective employees for information about credit cards or personal passwords, and it does not require applicants to purchase equipment or software. Ensure that all recruiter email addresses end in @mastec.com or @talent.icims.com. If you suspect you are the target of a scam, we advise you to contact your local law enforcement agency and report fraud at _. MasTec Clean Energy & Infrastructure and our subsidiaries do not work with any third-party recruiters or agencies without a valid signed agreement and partnership with the Corporate Talent Acquisition Team. #LI-SL1 #LI-ONSITE Appcast (For Export): #appyellow

AI Engineer 4 (AI Foundations, VLM Customization)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description We invite full-time Residential HVAC Service Technicians to join our team in Union, NJ. Those with no HVAC experience should sign up on our careers page to get updates for Apprenticeships & Helper positions. Who We Are Service Professionals is a family-owned home services company serving most of New Jersey since day one. We do plumbing, heating, cooling, and electrical — and we're not a franchise. We're your neighbors. And we're building something we're proud of. ???? Join us on this remarkable road, where every day our success story is written with thumbs pointed up. Pay and Benefits We take care of our people — because that's how they take care of our customers. Base pay: $27 to $50 an hour, depending on experience and licenses, or 18% to 20% of the revenue you produce that week, whichever is higher. Overtime is paid at time and a half over 40 hours. Uncapped performance bonus: Plus 2% to 3% of your monthly revenue when you hit your targets without excessive callbacks. There is no cap. High performers can earn $100,000 to $200,000 in total compensation. Earnings vary with experience and production. Health: Employee-only medical is $10 a paycheck. Our HRA covers your deductible, up to $4,000 ($8,000 with spouse, dependents or family); after that, coinsurance applies. Employee-only dental is $0. Coverage starts after a 90-day probation. Dependent coverage is available at your cost. Retirement: 401(k) for full-time staff through Basic Capital. Time off: Paid time off from day 91: one week of vacation after year one, two after year two, three after year five. Paid holidays. Also available: Pre-tax FSA and dependent-care accounts; supplemental vision, life and disability coverage. Your Own Truck: Take-home truck, dispatched from home, no commute. Gas card and tolls included. The truck comes once you're field-ready, fully stocked. Our warehouse does the stocking. On-call: On-call is paid and rotates throughout the department. Everyone in the department takes a turn before you take another. Schedule: Monday to Friday, about 3 calls a day. Honest options, no upsell pressure. We can't guarantee hours, but our marketing keeps the calendar full. Real Career Growth: We've promoted from within since the beginning. If you want to grow, we're the spot. What We're Looking For You're the kind of tech we'd send to our own mother's house without thinking twice. You take pride in doing the job right, especially when nobody's checking. You're comfortable with technology — ServiceTitan, iPads, digital invoicing. It's part of the job. You know how to talk to homeowners. You can sit at a kitchen table, explain the options, and help someone make the right call for their home and budget. You hold yourself to a standard. You track your numbers because you care about being good at this. Skills and Experience Strong residential HVAC knowledge — you've been running service calls and diagnosing real problems in real homes. Solid understanding of safety regulations and local codes. Valid driver's license with a clean driving record. Fluent in English. What You'll Do You'll run residential HVAC service and repair calls — including the tough ones. You'll diagnose issues, present honest options, and build relationships with customers who call back and ask for you by name. Day to day, that means: Diagnosing and resolving HVAC issues across a range of equipment — furnaces, heat pumps, mini-splits, central A/C, boilers. Spotting potential problems early to prevent callbacks and breakdowns. Walking homeowners through their options — repair vs. replace, financing, service agreements — so they can make an informed decision. Owning your numbers. You'll know your metrics and hold yourself accountable for hitting revenue and service goals. Service Area Service Professionals serves homeowners across central and northern New Jersey, with shops in Union and Little Falls. We Are An Equal Opportunity Employer Service Professionals is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Service Professionals is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Physical Demands and Working Conditions (All Trades and Warehouse Departments) To perform the duties of this job, you are regularly expected to sit, stand, walk, kneel, squat, stoop hands to finger, handle controls, hear, and talk. You must be able to reach with your hands and arms, climb ladders, and work in hot/cold environments such as crawl spaces. You will regularly lift 50+ pounds. Specific vision abilities required include close vision and the ability to adjust focus. The work environment can vary depending on the season and scope of work - you will be expected to be outside throughout multiple seasons. ???? Apply now to join a remarkable team!

Job DescriptionAbout Weee! Weee! is the largest and fastest-growing ethnic e-grocer in the United States, operating in one of the largest underserved categories in retail with affordable access to exciting ethnic food. By partnering with local suppliers, redesigning the value chain and leveraging social buying, Weee! is reshaping the grocery business entirely. You can read more about us on Business Insider, Reuters and TechCrunch. Weee! is headquartered in Fremont, CA, and is currently available coast to coast with exceptional growth (5x YoY) across geographies, categories and ethnicities. We have raised $800M+ in funding to date from leading investors including Softbank Vision Funds, DST, Blackstone, Tiger Global, Lightspeed Ventures, Goodwater Capital, XVC and iFly. The opportunity now is to join a rocketship as we prepare for the next stage of growth, and an eventual public listing. This role is part-time position in Clifton, NJ; Morning and Night shifts available (6:00 AM–6:00 PM and 6:00 PM–6:00 AM) Refrigeration (Ammonia) System operators. Responsibilities: • Maintain the Ammonia refrigeration and other freon based cooling systems including, but not limited to operation, maintenance, and repairs., • Maintain and operate single, two stage, cascade ammonia systems and subsystems, • Monitor and identify abnormal operating pressures, temperatures, and conditions within the refrigeration system, adjust, repairs and/or schedule service as required, • Thoroughly understanding and able to handle refrigeration system components, including vacuum pumps, chillers, evaporators, condensers, compressors, controls, and valves etc., • Perform and delegate to daily, weekly, monthly, annually inspections, and preventative maintenance on the refrigeration equipment and other cooler machinery on and off-site as needed, • Perform other maintenance duties such as plumbing, replacing valves, installing fixtures, detecting, and repairing leaks as needed, • Handle hazardous materials as directed and follow guidance of OSHA and EPA, • Monitor and record all system readings to document operation of the equipment and the system and provide reports and troubleshooting, • Respond to emergency breakdowns of the refrigeration systems, • Procure quotations and bids for the order of work scopes, repairs, parts, and construction projects as needed, • Ensure continuous training and competency of refrigeration updates and standards, • Train personnel for routine check and system following the SOP, • Thoroughly understand and can act upon based on EAP and technical guidance during emergency and system malfunction situations, • Handle unscheduled and emergency shut down of equipment, • Ensure all refrigeration equipment is functioning in a safe and optimal manner, • Ensures continuous operation of all the facility utility systems and supports preventative maintenance programs., • Assists in the record-keeping and training requirements for all components of the Ammonia refrigeration system in compliance with State and federal guidelines., • Must perform duties as assigned by the facility Manager. & Chief Engineer Qualifications Must posses a Blue SealToxic To Operating license issued by the state of New Jersey • 5+ of Ammonia and freon based refrigeration experience, • 4+ years of active experience with cooling processes, ammonia refrigeration, and other freon based facilities within a produce and food processing and storage facility is a plus, • Experience with screw and reciprocating compressors, recirculation pumps, HVAC units, air compressors, and associated control systems, • Work experience in ammonia system pump-downs and repairs, • Knowledge of chemical testing for cooling towers and ammonia system preferred, • Strong electrical and mechanical troubleshooting skills, • Ability to understand refrigeration blueprints, P&ID, and cut sheets, • Hazmat Responder Certification preferred, • Trained and experienced in lock-out, tag-out, and safe work practices, • Must be able to respond to emergencies if needed 24/7 including after hours and weekends., • Best-practice and professional knowledge of industrial maintenance and standards, • Able to perform in a fast-paced environment, • Must be detailed-oriented, cost-conscious, and deadline sensitive Physical requirements • Able to climb stairs and ladders and fall-protection trained, • Able to work at variable heights, • Able to lift, push, and pull 50 lbs. in weight Environmental conditions • Roof height and outdoors; cold, wet, and cold storage temperatures Compensation Range • The US base hourly range for this full-time position is $37/hr - $43/hr, • This role may be eligible to discretionary bonus, incentives and benefits, • Our salary ranges are determined by role, level, and location The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience and work locations. Your recruiter can share more about the specific salary range during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements. Weee! is an equal opportunity employer welcoming all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. Discrimination or harassment of any kind is not tolerated at Weee!. If you need to inquire about an accommodation or need assistance with completing the application, please email us at applicantaccommodation@sayweee.com. For more jobs and to find out more about Weee!, visit our career page: https://about.sayweee.com/careers #INDWH Softbank Vision Funds California Employee Privacy Policy Intro/FAQ 3.19.2026 Weee! Privacy Policy for California Employees Applicants Contractors (March 2026)

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n \n What You’ll Do: \n \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n \n Basic Qualifications: \n \n \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n \n \n Preferred Qualifications: \n \n \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4 (AI Foundations: Recommendation Systems)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 (IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Vision model (VLM) customization experience)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 5 (AI Foundations - LLM, Optimization and Finetuning)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fieldsOverview:\n\n\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n\n\n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model\n \n\n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (FM Hosting, LLM Inference)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (AI Foundations)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About Cresset \n Cresset is a firm built by clients, for clients. As an independent, award-winning multi-family office and private investment firm, we are reimagining the way wealth is experienced. Our purpose is to help ensure that both wealth and life are fully optimized**—integrated, intentional, and aligned with each client’s vision of success. \n \n We provide access to the caliber of talent, ideas, and investment opportunities typically available to the largest single-family offices and institutions. Our approach is personalized, entrepreneurial, and client-first. \n \n Cresset was built to endure. We are creating a 100+ year firm—one focused on delivering an exceptional experience, not only for the families we serve but for the team that serves them. Recognized by Barron’s among the nation’s top multi-family offices,* Cresset is guided by long-term relationships, shared success, and a belief that wealth should serve a life well lived. \n \n Job Description \n As Cresset continues to grow through acquisitions, lift-outs, strategic hires, and organic expansion, exceptional onboarding and integration has become a core differentiator of our business. The Managing Director, Head of Advisor Transitions & Integration is responsible for overseeing all aspects of advisor and client transitions from initial due diligence through full integration. This leader will define the strategy, operating model, governance, and execution standards that enable Cresset to deliver a seamless experience for incoming advisors, their team, and clients. While this role is highly strategic, it is equally operational. During periods of advisor onboarding and integration, this leader is expected to be fully embedded with incoming teams, working side by side with advisors, internal Cresset subject matter experts, custodians and 3rd party partners to coordinate resources, remove obstacles, and ensure the successful transition of clients and assets. \n \n This is not a role that leads integrations from afar; it requires a leader who is equally comfortable developing enterprise strategy and rolling up their sleeves to execute alongside the business teams. During onboarding, this leader is expected to be physically present with incoming teams for multiple, consecutive weeks. They will work directly alongside Advisory Practice Management Operations, Client Service, Technology, HR, Compliance, Legal, and other business functions to ensure resources are effectively coordinated and issues are identified and resolved quickly so advisors and their team members can remain focused on serving clients. Success requires calm leadership under pressure, sound judgment, and the ability to rapidly prioritize competing demands while maintaining an exceptional advisor and client experience. \n \n Key Responsibilities \n\n • Serve as an active partner to Corporate Development and Advisory Leadership during due diligence to assess operational readiness, integration complexity, technology environments, organizational structures, client service models, and transition risks.\n, • Evaluate advisor operating models and identify opportunities to accelerate integration while preserving the elements that make teams successful.\n, • Lead readiness planning by developing preliminary integration strategies, day one operating models, transition timelines, pre-close checklists, break readiness, resource requirements and alignment internally and with partners, and risk mitigation and contingency plans ahead of break.\n, • Quickly build trusted relationships with incoming leadership teams and team members to establish confidence and ensure a seamless transition.\n, • Support late-stage conversations by clearly articulating the integration approach and advisor experience\n, • Identify critical decisions that must be made prior to onboarding and ensure appropriate alignment internally and with incoming team.\n\n \n Integration Execution & Delivery \n\n • Lead day-to-day execution of integration plans post-break, including regular integration meetings / discussions and working sessions to track progress and resolve blockers\n, • Drive coordination across operations, client service, compliance, technology, reporting, finance, and HR\n, • Translate strategic integration plans into detailed workstreams, timelines, and deliverables\n, • Serve as the primary operator ensuring milestones, risks, and dependencies are actively managed\n, • Identify and resolve issues early, pulling in subject matter experts to triage and stabilize and senior leaders as needed to support\n, • Establish clear ownership and accountability across all integration workstreams\n\n \n Advisor & Client Transition \n\n • Own the advisor transition experience from signed agreement through post-integration stabilization.\n, • Serves as the face of Cresset's transition experience for incoming advisors and teams across the following activities: Advisor onboarding strategy, client transition planning, asset migration coordination, custodian conversion planning, communications, readiness and scenario planning, training coordination, service model implementation, and issue escalation and resolution.\n\n \n Systems & Data Integration \n\n • Oversee integration of technology tools (ex. Salesforce, Addepar, custodian platforms, and financial planning)\n, • Coordinate data migration, validation, and reconciliation\n, • Identify and resolve system gaps, inconsistencies, and reporting issues\n\n \n Investment & Platform Integration \n\n • Support review and mapping of portfolios, securities, and alternative assets\n, • Coordinate platform approvals and transitions with investment and operations teams\n, • Address custodial setup, pricing discrepancies, and account structure issues\n\n \n Process & Playbook Development \n\n • Develop and refine integration playbooks and best practices\n, • Conduct post-mortems, document lessons learned and continuously improve workflows\n, • Support scaling the integration function as deal volume grows\n\n \n Qualifications \n\n • Bachelor’s degree required; advanced degree or certifications a plus.\n, • 10+ years of experience in financial services, wealth management, or integration-focused roles.\n, • Demonstrated experience leading large-scale advisor transitions, acquisitions, or enterprise integrations within wealth management or financial services.\n, • Comfortable leading highly visible integrations where executive presence, responsiveness, and sound judgment are essential.\n, • Proven ability to remain calm and decisive while managing multiple priorities in rapidly changing environments.\n, • Experience building trust with founders, advisors, and senior executives during periods of significant organizational change.\n, • Willingness to travel extensively in support of acquisitions, lift-outs, advisor transitions, due diligence, and post-close integration activities.\n, • Proven ability to lead complex, multi-workstream initiatives and fluency with project management tools (e.g., Asana.)\n, • Strong understanding of brokerage/custody operations, account transfers, client onboarding, and wealth management technology.\n, • An understanding of custodial platforms (Schwab, Fidelity, Pershing), advisor technology ecosystems (e.g., Addepar, E-Money, MSCI Wealth, Salesforce), and investment portfolio structures.\n, • Exceptional communication, organizational, relationship-building, and stakeholder management skills.\n, • Ability to operate with a high degree of ownership in a fast-paced, evolving environment\n, • Clear alignment with Cresset’s values of client-first excellence, partnership, collaboration, and continuous improvement.\n\n \n What We Offer: \n At Cresset, we focus on people first. As a service business, our people are our assets. Engaging our clients and employees is our highest priority. Starting salary is $200,000 - $255,000. Salary will be based on factors including, but not limited to, experience, licenses/certifications, industry knowledge, and geographic location. Cresset offers a competitive compensation package including an annual incentive and a benefits package to all full-time employees including medical, dental, vision, life insurance, 401(k) retirement plan, health savings accounts, short and long-term disability insurance, voluntary critical and accident insurance, and pre-tax parking and transportation programs. \n \n Equal Employment Opportunity \n It is the policy of Cresset to ensure equal employment opportunity (EEO) for all employees and applicants for employment without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, or related conditions), national origin or ancestry, age, disability, veteran status, uniformed servicemember status, sexual orientation, gender identity, status as a parent, genetic information (including testing and characteristics), or any other characteristic protected by applicable federal, state, or local law. It is Cresset’s policy to comply with applicable laws concerning the employment of persons with disabilities, including reasonable accommodation for applicants and employees with disabilities. \n \n *Disclosures related to awards, recognitions, and rankings available here. \n \n *Barron's Top 100 RIA Firms (issued 09.2026). Based on data from July of the prior year through June of the award year. Rankings are determined using a proprietary methodology that considers qualitative and quantitative factors. Cresset paid a licensing fee to use the Barron's award logos. \n \n **Wealth Optimized, Life Elevated refers to the firm’s philosophy and process in providing advisory and planning services and is not intended to convey a guarantee of results. \n \n Cresset refers to Cresset Capital Management, LLC and its respective direct and indirect subsidiaries and controlled affiliates. For a full list of Cresset subsidiaries and controlled affiliates, please see cressetcapital.com/disclosures/. \n

Applied Researcher 5\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n\n • Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

\n About the Company \n \n \n Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital private equity and Orogen Group, and growing rapidly since its inception, Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology - cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility. Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance. With delivery locations across the United States, Romania, Canada, Mexico, and India, our growing global workforce of over 5500 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Brillio was awarded ‘Great Place To Work consistently. Learn more www.Brillio.com. \n \n \n About the Role \n \n \n With at least 18 years of experience leading engineering teams, including extensive expertise in delivering Salesforce PDO solutions. \n \n \n Responsibilities \n \n \n\n • Lead the design, development, and deployment of Salesforce managed packages, ensuring compliance with Appexchange requirements and achieving successful product launches.\n, • Drive end-to-end product development using Salesforce 2GP and 1GP packaging strategies, optimizing for scalability, maintainability, and measurable business growth.\n, • Establish and enforce engineering standards, code quality, and security protocols across all PDO projects, ensuring consistent delivery of high-quality solutions.\n, • Collaborate with cross-functional teams including product, QA, and client stakeholders to define technical roadmaps and deliver impactful, market-ready solutions.\n, • Mentor and develop senior engineering leaders, fostering a culture of innovation, continuous improvement, and technical excellence.\n, • Oversee release management, version control, and upgrade processes for complex Salesforce applications on Appexchange, ensuring seamless transitions and minimal downtime.\n, • Monitor and improve system performance, reliability, and user experience, leveraging analytics to drive measurable improvements in customer satisfaction.\n, • Stay current with Salesforce platform advancements, regulatory changes, and emerging technologies to guide strategic engineering decisions and maintain competitive advantage.\n\n \n \n Qualifications \n \n \n\n • Bachelor's degree in Computer Science, Information Technology, or Software Engineering.\n, • Salesforce Certified Application Architect or Salesforce Certified Platform Developer II.\n, • Certification in Salesforce PDO or Appexchange product development.\n\n \n \n Required Skills \n \n \n\n • Expertise in Salesforce Platform Development.\n, • Advanced proficiency in Salesforce 2GP (Second-Generation Packaging).\n, • Strong experience with Salesforce 1GP (First-Generation Packaging).\n, • Deep knowledge of Appexchange submission and compliance processes.\n, • Hands-on experience building, maintaining, and upgrading managed packages.\n, • Proficiency in Apex, Lightning Components, and Visualforce.\n, • Experience with Salesforce DX and CI/CD pipelines for PDO projects.\n, • Strong understanding of version control systems (e.g., Git) in Salesforce environments.\n, • Ability to architect scalable, secure, and performant Salesforce solutions.\n, • Experience with API integrations and third-party app development for Salesforce.\n\n \n \n Preferred Skills \n \n \n\n • Experience with Salesforce App Analytics and monitoring tools.\n, • Knowledge of advanced Salesforce security and compliance frameworks.\n, • Familiarity with ISV partner programs and commercial product launches.\n, • Expertise in optimizing managed package upgrade paths and legacy migrations.\n, • Experience with multi-cloud Salesforce integrations (Marketing, Service, Commerce Clouds).\n, • Proficiency in Agile methodologies and enterprise engineering management.\n\n \n \n

Applied Researcher 5 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n • \n Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact \n\n \n The Ideal Candidate: \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms \n • \n Has a deep understanding of the foundations of AI methodologies \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes \n • \n Experience in delivering libraries, platform level code or solution level code to existing products \n • \n A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects \n\n \n Basic Qualifications: \n\n • \n Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research \n\n \n Preferred Qualifications: \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \n Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n • \n Data Preparation \n \n • \n Publications studying tokenization, data quality, dataset curation, or labeling \n • \n Contribution to a major open source corpus \n • \n Contribution to open source libraries for data quality, dataset curation, or labeling \n \n • \n Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4 (AI Foundations, LLM Customization and Finetuning)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Data Preparation\n \n, • Publications studying tokenization, data quality, dataset curation, or labeling \n, • Contribution to a major open source corpus \n, • Contribution to open source libraries for data quality, dataset curation, or labeling\n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 ((AI Foundations, LLM Core and Agentic AI)\n \n \n Overview: \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionCREDIT ASSOCIATE - Food & Beverage In Office - NYC, Walnut Creek, or San Francisco WHAT IS THE OPPORTUNITY? The Credit Associate is an intermediate colleague responsible for supporting credit analysis and portfolio management activities. This role involves assisting with credit data analysis, underwriting, and portfolio review activities including facilitating credit risk recommendation. The Credit Associate may be assigned a book of lower-complexity loans and relationships. The Credit Solutions Associate collaborates with team members to ensure effective credit operations. The Credit Solutions Associate helps maintain high standards of credit quality and compliance. WHAT WILL YOU DO? • Role: Support the underwriting and management of cash-flow and asset-based loans ≥$25.0 million for the national Food & Beverage (“F&B”) platform across the sponsor and strategic channels. Target Borrower profiles, both private and public, have EBITDA >$10.0 million and Revenue >$200.0 million. Structures typically include revolvers, term loans, delayed draw term loans, and CAPEX lines across multiple product lines. Transaction types typically include leveraged buyouts, management buyouts, refinances, growth capital, recapitalizations, add-on acquisitions, etc.., • Underwriting: Support due diligence efforts as Agent or Participant for Borrowers across the F&B value chain (i.e. manufacturers, processors distributors, grocers, etc.). Core competencies include historical and projected financial statement analysis, dynamic 3-statement financial modeling, and credit memorandum preparation., • Portfolio Monitoring: Support the management of a portfolio of Borrowers across multiple F&B subsectors with various structures, roles, commitments and risk ratings. Perform monthly/quarterly and annual reviews covering financial performance, risk ratings, capacity to repay, covenants, etc. Evaluate credit requests to assess creditworthiness and prepare corresponding approval memorandums, as applicable. WHAT DO YOU NEED TO SUCCEED? Required Qualifications* • Bachelor's Degree or equivalent in Finance, Business, or related field, • Minimum 2 years of progressively increasing credit underwriting and portfolio management experience in relevant industry/industries Additional Qualifications, • Intermediate experience (i.e., ideally 3+ years underwriting) in credit management and lending operations, with a strong understanding of risk management principles., • Demonstrates a strong desire to learn advanced underwriting and portfolio management skills, actively seeking opportunities for professional growth and development, eventually leading to ownership of a portfolio of credits., • Effective risk management practices, maintaining high standards of credit quality and origination in alignment with Bank’s credit risk appetite, and compliance with institutional and regulatory requirements., • Strong communication and collaboration skills, with the ability to work effectively with senior leadership and cross-functional teams, participate in ad-hoc projects to support the organization’s priorities., • Intermediate analytical skills, with the ability to interpret complex data and make informed decisions WHAT'S IN IT FOR YOU? Compensation Starting base salary: $34.55 - $55.19 per hour. *Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions. Benefits and Perks At City National, we strive to be the best at whatever we do, including the benefits and perks we offer our colleagues including: • Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date, • Generous 401(k) company matching contribution, • Career Development through Tuition Reimbursement and other internal upskilling and training resources, • Valued Time Away benefits including vacation, sick and volunteer time, • Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs, • Career Mobility support from a dedicated recruitment team, • Colleague Resource Groups to support networking and community engagement Get a more detailed look at our Benefits and Perks. ABOUT US Since day one we've always gone further than the competition to help our clients, colleagues and communities flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America’s leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at About Us. INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. *Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. careers.cnb.com accepts applications on an ongoing basis, until filled. Unless otherwise indicated as fully remote, reporting into a designated City National location is an essential function of the job. #LI-JO1 #GD-JO #CA-JO

Private credit has done more to change the shape of a debt finance associate's docket in three years than syndicated lending did in twenty — the associates who've worked both sides of a direct-lending deal are the ones every group in New York is trying to hire. \n \n An elite international firm is hiring a debt finance associate (3–9 years) in New York. Cravath scale — $260K–$435K depending on class year. \n \n You'd join a global finance practice acting for sponsors, direct lenders, banks, funds, and corporates on acquisition financings, refinancings, and liability management, with real deal ownership at your level and a bench that runs both borrower- and lender-side mandates rather than one or the other. \n \n The work includes: \n \n\n • Leveraged finance and acquisition financings for private equity sponsors and their portfolio companies\n, • Private credit and direct lending, including unitranche and holdco structures\n, • Fund finance — subscription lines and NAV facilities — plus infrastructure and hybrid capital financings\n, • Syndicated credit facilities, cross-border lending, and liability management transactions\n\n \n What you bring: \n \n\n • 3–9 years of debt finance, leveraged finance, or private credit experience at a peer firm\n, • Sponsor-side reps drafting and negotiating credit agreements and intercreditor arrangements\n, • Strong academics and a real interest in the finance practice\n, • New York bar admission or the ability to waive in\n\n \n What you get: \n \n\n • A finance practice with genuine cross-border deal flow and a private credit book that keeps growing through the cycle\n, • Sponsor, lender, and borrower experience in one seat, which is the most portable profile in finance right now\n, • Cravath scale ($260K–$435K depending on class year), plus bonus eligibility\n\n \n Apply here directly or send your resume confidentially to srushing@laterallink.com

Senior Manager, Machine Learning Engineer (People Leader)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n, • Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers\n, • Recruit, nurture, and retain top engineering talent\n, • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n, • At least 1 year of people leadership experience\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience managing and leading an ML engineering team\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Sr. Manager, Machine Learning Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer\n \n Plano, TX: $209,000 - $238,500 for Sr. Manager, Machine Learning Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Flex is building the AI-native private bank for business owners. We’re re-architecting the entire financial system for entrepreneurs—from the first dollar a business earns to how that value compounds, moves, and is ultimately spent in real life. Banking, credit, payments, personal finance, and financial operations—rebuilt from the ground up as a single, intelligent system. Flex is the full financial home for ambitious owners. Since launching publicly in September 2023, Flex has scaled from zero to nine-figure annualized revenue, with a clear path to profitability by late 2026. We move fast, ship relentlessly, and operate with extreme ownership. Our customers are affluent business owners ($3–$200M in revenue)—the backbone of the economy and one of the most underserved segments in finance. They’re stuck with outdated banks and fragmented tools. We’re replacing all of it. The opportunity is massive: a ~$1T+ revenue market hiding in plain sight. Our ambition is to build a $100B+ company by delivering a product that is fundamentally better—not incrementally improved. Flex has raised $100M+ in equity and $300M+ in debt. • Mission-critical problems: We build software that directly controls how money moves at scale. - High bar, low ego: Small teams, exceptional people, real ownership. - Speed over comfort: We prioritize execution, quality, clarity, and results. - Enduring impact: What we’re building will define how a generation of owners runs their businesses. Team & Locations We hire exceptional people who want to build hard things and see their work matter immediately. Roles are available in: San Francisco, Miami, New York, and fully remote. Flex Fuels Ambition. \uD83D\uDD7A About the Role Venture Community Leads are the face of Flex in their geographic region or category. This is our first ever hire to own the venture and founder community. Your mission will be to have everyone in your city know what Flex is by hosting intentional events, curating the invite list, and fostering relationships that become champions of the brand. You’ll report to the Head of Marketing and work closely with our creative and data teams to generate assets and ensure attribution of events and referrals. This is a highly relational, on-the-ground role: equal parts community builder, deal originator, and operator. You’ll represent Flex to venture-backed founders, GPs, and investors in your city, ensuring Flex is top-of-mind as their financial partner. ✅ What You’ll Do • Host and curate events: Plan and execute dinners, salons, and small-format gatherings that attract top venture-backed founders and GPs., • Foster 1:1 relationships: Build personal connections with attendees, becoming a trusted connector and resource in the community., • Own referral flywheels: Encourage and track peer-to-peer referrals, ensuring the right attribution back to your channel., • Leverage CRM rigorously: Log every relationship, event touchpoint, and referral in CRM; ensure accurate attribution and reporting., • Follow up with intent: Send personalized notes, share relevant content, and schedule 1:1s to deepen engagement beyond the event., • Performance reporting: Measure and communicate the ROI of your efforts (pipeline generated, conversion rates, referral multipliers, CAC payback)., • Collaborate cross-functionally: Partner with Flex’s marketing, sales, and data teams to align messaging, share community insights, and optimize attribution strategies., • Represent Flex authentically: Act as the local face of Flex — knowledgeable about our product, our mission, and the needs of venture-backed founders/GPs.⚡️ What You Bring, • 2–5 years of experience in venture capital, founder support, partnerships, or ecosystem/community-building roles., • Proven ability to host and lead high-value events that drive meaningful relationships., • Existing networking and relationship-building skills with founders and VCs., • Experience working with CRM tools (e.g., HubSpot, Salesforce, Affinity) and applying attribution strategies., • Data-driven mindset: you’re comfortable tying community activity to business outcomes., • Excellent written and verbal communication; you can confidently represent Flex in front of founders and investors., • Entrepreneurial and scrappy — you thrive in ambiguity, love being on the ground, and can spin up a dinner, follow up with guests, and report results all in the same week., • Bonus: Prior experience as a founder, operator, or in a venture-backed startup community role.Why Join Us Build something generational — Capture the full lifecycle of money for ambitious business owners. Work on real money, real risk — Payments, credit, and banking at serious scale. Solve hard problems — AI, underwriting, compliance, and global finance from first principles. True ownership — Small teams, high trust, real accountability. Founder-level exposure — Direct access to leadership, customers, and investors. High bar, high taste — Move fast without cutting corners. Elite peers — People here are builders, not tourists. Real upside — Meaningful equity if you help build something big. Flexbase Technologies Inc.

Job Description Salary: $75,000.00 - $78,000.00 Other Forms of Compensation: N/A What makes FLIK click What makes FLIK click? Our people. The decisions, actions and attitudes of our associates earn the trust and loyalty of our clients every day. We know how to pick them and we know how to grow them. It starts with hiring people who share our passion for food and hospitality. Once we find the right talent, we encourage, value and recognize their contributions. We keep our people renewed, excited and engaged by providing hands-on training and educating them about the latest trends. We give them a stake in successfully raising the bar. Our people love what they do and they love sharing their passion. Join our team and see the FLIK difference. Where a job isn’t merely a job but the start of a career where you can flourish. Job Summary Job Summary: Working as the Sous Chef, you will be responsible for the successful operation of the Culinary Department for the Capital One Lounge at JFK Airport. You will assist in the supervision, preparation, and cooking of various food items, developing daily menu items and their preparation and garnishment. You may supervise hourly associates and you work with Executive Chef/Chef to develop new menus and assist with ordering. This is an exciting opportunity for an energetic, entrepreneurial Culinary professional. Key Responsibilities: • Assists the Executive Chef with managing cost controls and controlling expenditures for the account, • Assists the Executive Chef with planning and creating menus, • Produces and executes catering events, • Rolls out new culinary programs in conjunction with Company marketing and culinary team Preferred Qualifications: • Some progressive culinary/kitchen management experience, depending upon formal degree or training, • Catering experience a plus, • High volume, complex foodservice operations experience - highly desirable, • Institutional and batch cooking experience is helpful, • Comprehensive knowledge of food and catering trends with a focus on quality, production, sanitation, food cost controls, and presentation, • Must be experienced with computers, including Microsoft Office (Word, Excel, and PowerPoint), Outlook, email, and the Internet, • Must be willing to participate in client satisfaction programs/activities, • ServSafe certified - highly desirable Apply to Flik today! Flik is a member of Compass Group USA Click here to Learn More about the Compass Story Associates at Flik Hospitality are offered many fantastic benefits. • Medical, • Dental, • Vision, • Life Insurance/ AD, • Disability Insurance, • Retirement Plan, • Paid Time Off, • Holiday Time Off (varies by site/state), • Associate Shopping Program, • Health and Wellness Programs, • Discount Marketplace, • Identity Theft Protection, • Pet Insurance, • Commuter Benefits, • Employee Assistance Program, • Flexible Spending Accounts (FSAs), • Paid Parental Leave, • Personal Leave Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here or copy/paste the link below for paid time off benefits information. https://www.compass-usa.com/wp-content/uploads/2023/08/2023WageTransparencyFlikHospitality.pdf Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act. Certain positions may require Florida Level 2 background screening. Details: https://info.flclearinghouse.com/ Applications are accepted on an ongoing basis. Flik maintains a drug-free workplace. Req ID: 1564071 Flik Hospitality Group JoEtta Barnes [[req_classification]]

Job Description Cocktail Server - Time Out Market Dumbo Location: DUMBO, Brooklyn, NY Position: Cocktail Server Hourly Rate: $11.35/hour + tips Tip Pool: Cocktail Servers participate fully in the tip pool at the same tip-pool rate as bartenders. Position Summary Time Out Market Brooklyn is looking for energetic, hospitality-driven Cocktail Servers to join our beverage team. This position focuses on providing friendly, efficient table service throughout the Market while creating a fun and welcoming experience for our guests. Cocktail Servers will take beverage orders from guests, enter orders accurately into the POS, pick up completed drinks from the bar, and deliver them promptly to tables. This is a high-volume position that requires strong communication, organization, and the ability to move quickly while maintaining excellent guest service. Responsibilities Greet guests warmly and provide attentive, knowledgeable beverage service. Take cocktail, beer, wine, non-alcoholic, and other beverage orders. Accurately enter all orders into the POS system. Pick up completed beverages from the bar and deliver them efficiently to guests. Maintain assigned service areas, including clearing empty glassware and keeping tables clean and organized. Communicate closely with bartenders, barbacks, managers, and other FOH team members. Maintain knowledge of current cocktails, spirits, beer, wine, specials, and promotions. Check guest identification and follow all responsible alcohol-service policies. Process payments accurately and efficiently. Assist with opening, closing, restocking, and general side work as assigned. Help maintain clean and organized guest-facing areas throughout the shift. Provide support during private events, rooftop programming, and other Market activations as needed. Follow all Time Out Market service, uniform, safety, and sanitation standards. Qualifications Previous serving, cocktail serving, bartending, or high-volume hospitality experience is preferred. Candidates should be comfortable working in a fast-paced environment, have strong guest-service and communication skills, and be able to remain organized while managing multiple tables and orders. Weekend, evening, and holiday availability is required based on business needs. Knowledge of cocktails, spirits, beer, and wine is strongly preferred. Compensation $11.35 per hour + tips. Cocktail Servers are fully included in the beverage team tip pool and participate at the same rate as bartenders, providing strong earning potential during high-volume shifts. This is a great opportunity for someone who enjoys guest interaction, thrives in a busy environment, and wants to be part of the beverage and hospitality team at Time Out Market Brooklyn. About our culture At Time Out Group we believe in diversity and equal opportunity for all people. We do not discriminate against external or internal candidates on the basis of age; disability; gender, gender reassignment; race; religion or belief; sexual orientation; marriage and civil partnership; pregnancy and maternity. We believe that diversity develops creativity and enables personal and professional growth where we all learn from each other. We believe in an open culture where ideas are shared candidly and where there is no fear of failure, but rather an understanding that we must experiment and have the freedom to succeed. We believe that everyone has the right to express themselves as they are as this enriches us all. We believe in an open world, social justice, and the pursuit of happiness, after all, we are in the happiness business. Recruitment Scam Warning Time Out is aware of recruitment scams in which individuals falsely claim to represent our company. Please note that Time Out will never ask candidates to pay fees, transfer money or make purchases at any stage of the recruitment process. We also do not conduct interviews or communicate with candidates via Telegram or WhatsApp. If you receive a suspicious message, job offer or payment request claiming to be from Time Out, please do not respond or send any money. Instead, contact us at hr.uk@timeout.com so we can investigate. About Time Out Group plc Time Out Group is a leading global media and hospitality business that inspires and enables people to experience the best of the city. It all began in London in 1968 when Time Out helped people discover the exciting new urban cultures that had started up all over the capital. Since then, this iconic brand has consistently maintained its status as the go-to source of inspiration for both locals and visitors alike. Today, it is the only global brand – with a local voice – dedicated to city life. Through Time Out Media and Time Out Market – which are highly synergistic – the Company helps its large audience go out in the world's greatest cities with its curated content and experiences, and connects global brands as well as local talents with this valuable audience. Time Out Media’s multiple digital and physical channels span websites, mobile, social media, videos, newsletters and Live Events. Across these channels, Time Out distributes its high-quality content – created and curated by a global team of local experts – around the best food, drinks, culture, art, music, theatre, travel and entertainment in over 350 cities and over 50 countries. The Company is monetising this global reach and its strong traffic from a desirable audience by offering bespoke 360-degree multichannel advertising solutions to international, national and local brands and businesses. Since its launch in 1968, Time Out has become a global brand that advertisers and consumers love and trust. Time Out Market is the world's first editorially curated food and cultural market, leveraging the Time Out brand to bring the best of the city together under one roof: its best chefs, drinks and cultural experiences – based on the editorial curation Time Out has always been known for. The first Time Out Market opened in 2014 in Lisbon, quickly becoming one of the city's most popular destinations. The success of Lisbon brought further expansion and there are currently 13 open Markets: in addition to Lisbon, there are sites in New York (in Brooklyn's Dumbo neighbourhood and in Manhattan's Union Square), Boston, Montreal, Dubai, Cape Town, Porto, Barcelona, Bahrain, Osaka, Budapest and Vancouver. More Time Out Market locations are in the pipeline as the global expansion continues. Time Out is a dynamic, pioneering brand and so is our team. We want to work with the best and brightest talent because we work for the world’s greatest cities, the people enjoying them and the businesses in them. As a truly global team we get to collaborate with colleagues from New York to Paris, Cape Town and Sydney and beyond. It’s our expertise, authenticity and collaboration that make us successful and a unique team.

Woodhull Medical and Mental Health Center is attuned to the healthcare issues that matter to the people of North Brooklyn. Woodhull focuses on preventing disease and promoting healthy lifestyles by reaching out to the community at various convenient locations. At NYC Health + Hospitals, our mission is to deliver high-quality care health services, without exception. Every employee takes a person-centered approach that exemplifies the ICARE values (Integrity, Compassion, Accountability, Respect, and Excellence) through empathic communication and partnerships between all persons. Purpose of Position: Under general supervision of the Deputy Director of Finance, plans, initiates, monitors, directs and coordinates finance programs including areas such as accounts payable, health care setting management and cost reporting systems, payroll, special accounting, internal and external financial reports, data control, affiliation accounting, asset control, cash receipts, cash disbursements, daily investment of idle cash funds, general accounting and capital accounting. Coordinates the efforts of staff members in initiating and completing work assignments within the framework of departmental objectives and priorities to ensure the accurate, timely and systematic flow of documents and reports for the provision of necessary financial services. Acts in compliance with all applicable governmental laws, rules and regulations and other applicable external regulatory requirements and/or guidelines. Essential Duties and Responsibilities: • Reviews and coordinates plans, activities, programs, practices and operations within the department to determine if operational functions are best servicing needs., • Monitors document flow from health care setting financial units for timeliness, completeness and accuracy., • Initiates and implements standard operating procedures and new accounting systems to simplify workload and improve flow of accounting and finance., • Reviews operational procedures in compliance with authorized systems; implements changes necessary to stave off deterioration of their effectiveness and recommends and guides the installation of improved procedures for efficient operation of current health care setting financial systems., • Provides general supervision including the general direction and review of staff personnel, and, • determines critical document flow points and recommends solutions to affect resolution of stoppages or delayed processing., • Engages in the development and maintenance of staff personnel at a level to fulfill operational needs of finance, accounting and systems requirements., • Prepares special studies and analysis relevant to finance and accounting matters., • Develops and maintains a system of reports for the guidance of NYC Health + Hospitals financial management and health care setting controllers in the operation of authorized financial and accounting systems and supervises on a current basis all financial data books, ledgers, records and reports needed to account for and record the results of operations and assets of the System and its subsidiaries., • Participates in staff conferences, attends various meetings with key personnel of other NYC Health +Hospitals offices and outside agencies., • Performs other related duties, as directed. Minimum Qualifications: • Master’s degree from an accredited college or university in Accounting, Finance, Business Administration or a related discipline with an emphasis on accounting and financial systems; and two (2) years of responsible-level experience in fiscal management or administration with an emphasis on financial, • systems, management information and controls, one (1) year of which must have been in a responsible administrative or managerial capacity; or, • 2.Bachelor’s degree from an accredited college or university in disciplines, as listed in “1” above; and three(3)years of experience, as described in “1” above, one (1) year of which must have been in a responsible administrative or managerial capacity. NYC Health and Hospitals offers a competitive benefits package that includes: • Comprehensive Health Benefits for employees hired to work 20+ hrs. per week, • Retirement Savings and Pension Plans, • Paid Holidays and Vacation in accordance with employees' Collectively bargained contracts, • Loan Forgiveness Programs for eligible employees, • College tuition discounts and professional development opportunities, • College Savings Program, • Union Benefits for eligible titles, • Multiple employee discounts programs, • Commuter Benefits Programs

AI Engineer 5 (AI Foundations, VLM Customization)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About the Role We have an exciting opportunity to join our team as a APP Nurse Practitioner Manager of a Family Health Center in Brooklyn New York. In this role, the successful candidate Responsible and accountable for the management and quality of nursing care delivered at the site as part of the site leadership team. Responsibilities • Responsible and accountable for the management and quality of nursing care delivered at the site as part of the site leadership team., • Fosters an effective work environment for interdisciplinary teamwork, patient satisfaction and staff satisfaction., • Makes management and budgetary decisions., • Sets work schedules., • Recruits and trains nurses and other health care professionals on the care team., • Serves as a role model and resource to all staff., • Function also includes providing primary care for patients at least one session a week., • Demonstrates clinical knowledge and skills in area of supervision and directs staff in its application., • Provides direct patient care as needed onsite clinical support/triage/care coordination to meet patient care needs or to model behavior for staff development/training, • Conducts daily huddles. Establishes maintains processes to promote a multidisciplinary team approach in developing, implementing and evaluating patient care and/or family education, • Conducts quality improvement monitoring and participates in problem identification and solution to improve key processes/systems/patient care; shares results in staff meetings. Encourages staff participation in quality improvement activities., • Attends and participates in monthly Network meetings, • Investigates incidents and occurrences and institutes corrective action as appropriate, • Promotes safety and risk free environment for patients and staff, • Ensures staff compliance annual and interval updates, i.e. environments of care, infection control, emerging pathogens,hazard and safety surveillance., • Responds to patient/family needs in timely, positive manner and ensures service excellence among all staff, • Responds to staff, provider and patient satisfaction needs and identifies and implements solutions in collaboration with related departments as needed, • Plans for staffing needs of the site(s)/modules(s) on a long and short term basis, adjusting based on workload and other staffing variables to maintain safe, efficient care in an effective manner, • Prepares staff schedules in a timely manner. Monitors appropriate use of benefit time. Completes time cards for timely and correct payroll. Approves overtime, • Monitors site/module staffing to budget, overtime/agency use and provides justifications as needed, • Interviews potential staff members and recommends hiring of applicants with appropriate skills and behavior in collaboration with recruitment., • Establishes work performance and clinical competency of personnel on a timely basis and makes recommendations for promotions, transfers and discharges. Takes corrective action and/or disciplinary action with staff in collaboration with Human Resources., • Facilitates and ensures orientation of personnel to the site/module. Plans for experience needed to perform competently., • Participates in the clinical and leadership development of employees in his/her area., • Establishes work performance and clinical competency of personnel on a timely basis and makes recommendations for promotions, transfers and discharges. Takes corrective action and/or disciplinary action with staff in collaboration with Human Resources., • Participates in the clinical and leadership development of employees in his/her area. Maintains accurate records and evaluates effectiveness of activities., • Identifies and meets learning needs in order to maintain competency and respond to new clinical and management expectations, • Counsels and coaches staff concerning their work performance and development; holds staff accountable for performance. Makes recommendations for staff educational needs and plans educational activities independently and in conjunction with others., • Establish pleasant working environment conducive to teamwork, growth and recognition., • Utilizes effective conflict resolution strategies when dealing with staff, providers, patients and family members, • Maintains effective ongoing and timely communication with staff and maintains records of meetings. Makes recommendations for staffing supply and capital budget needs of the module/site. Monitors budget in collaboration with Site Director / Medical Director. Participates in annual staffing/plan budget review process., • Collaborates with Materials Management Department and Purchasing for appropriate supplies and equipment and ensures proper utilization and maintenance of supplies and equipment on unit, • Assimilates NYU Langone Medical Center/Family Health Centers core values compassion, dignity, integrity, service throughout all processes and interactions, • Participates in module/site/service, departmental and hospital-based councils/activities/special projects, • Serves as a liaison to all other departments in the system and demonstrates effective team building and problem solving strategies in interactions., • Maintains records on licensure and certifications of the staff Minimum Qualifications: To qualify you must have a Master Degree required. Three years of ambulatory care experience required. Previous leadership experience preferred. Willingness to devote the time required completing assigned tasks on schedule. Valid New York State Nurse Practitioner license, NYS Infection Control Certificate. Basic Life Support (BLS) Certification through the American Heart Association is required at the time of hire and is required to be maintained. Benefits information Benefits include medical, dental, vision, retirement, and PTO Equal Employment Opportunity Statement: Noor Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. Physical Requirements: This position requires the ability to perform the essential functions of the role, which may include standing for extended periods, bending, reaching, and lifting up to 50 pounds on an occasional basis, with or without reasonable accommodation. Physical demands may vary depending on assignment and client-site requirements.

Job Description:\n\nIf you are a current YAI employee, please click this link to apply through your Workday account.\n\nKey/Essential Functions & Responsibilities\nAll Assistant Behavior Intervention Specialists (ABIS) perform the following tasks:\n\n \n Performs all duties of a Direct Support Professional (DSP 1 – 3) as indicated in job descriptions, in addition to ABIS duties on a regular basis and/or as requested to ensure the overall supervision, protection and care of individuals in program, assisting in maximizing their strengths, interests and abilities while upholding their personal rights and facilitating activities that provide social capital and connections to the community.\n \n Leads the identification, facilitation and scheduling of community inclusion activities for assigned program based on feedback from and needs of persons supported, coordinating resources, securing necessary funds and ensuring that activities are completed and appropriately documented.\n \n Supports provision of appropriate, therapeutically documented levels of supervision to ensure and protect the health, safety and well-being of individuals at all times by ensuring updates and changes to levels of supervision for persons we support are regularly communicated to all staff and appropriately documented; may run shift meetings, assigning duties, completing shift sheet and making recommendations to ensure staff are qualified and able to maintain current prescribed levels of supervision.\n \n Understands and uses specialized clinical knowledge of person-specific needs and signs or symptoms of ailments/syndromes including mental health/medical conditions to provide effective supports to individuals, identify and escalate concerns to leadership and inform activities, training or specialized education or augmented trainings for staff.\n \n Stays up to date with current issues, diagnoses, needs and levels of supervision for the persons supported in assigned program under the supervision of BIS.\n \n Works with BIS to identify habilitative, behavioral and psychiatric needs of the persons supported and to ensure all programming and activities relating to clinical interventions are implemented consistently, in accordance with individualized plans.\n \n Provides guidance to program staff, setting the appropriate tone and ensuring that the standards of care are followed by modeling excellent counseling skills and interactions with persons supported and through use of person-centered philosophy and tools.\n \n Implements Behavior Support Plans, demonstrating understanding of behavior as communication and employing person-centered thinking to support positive interactions and prevent further escalation.\n \n Trains direct care staff individually, on the floor and/or in groups using the EMOE training system to support effective implementation of habilitative and behavioral programming by program staff through regular observations, direct feedback, communicating clinical rationales and ensuring appropriate data collection techniques.\n \n Serves as lead trainer for weekend staff and supports new staff in developing and demonstrating the OPWDD Core Competencies.\n \n Participates in the development of treatment plans including individualized habilitative plans, collaborating with BIS to write services, goals, outcomes and/or supports in accordance with the agency philosophy, as determined by assessments of individual needs and learning capabilities.\n \n Assists BIS with gathering and collecting data required to conduct formal and informal behavioral and habilitative assessments (written questionnaires, standardized tests, rating scales, baseline data, etc.) by conducting observations and/or soliciting information from other direct support staff, circles of support or other sources, as applicable.\n \n Monitors collection of data used to assess progress toward habilitative and behavioral goals, ensuring that new data sheets are accessible to staff at the beginning of each month and that staff are consistently and accurately collecting and documenting data in accordance with established systems by reviewing documentation, retraining staff and following up as needed; may assist with design of data collection systems for habilitative goals.\n \n Completes and maintains all required paperwork and documentation for persons supported in appropriate format(s) and file(s) in accordance with applicable requirements including compiling, totaling and summarizing data, writing monthlies describing overall progress and completing person centered materials; reviews and ensures all psychiatric/therapy anecdotals are complete and appropriate and assists other program staff with documentation or compiling information or data, as needed or directed.\n \n Attends and actively participates in team meetings as a member of the interdisciplinary team (IDT), consulting with IDT to ensure streamlined and top-quality care and providing feedback or ideas to improve supports and/or program operations and updates or changes relating to data management, assessments or programming requirements.\n \n Regularly participates in life plan and other meetings for persons supported and in regional assistant or other clinical team meetings providing information, contributing to agendas and completing tasks or activities resulting from meetings as directed by leadership team (training, assessments, reviews, etc.).\n \n Serves as lead on weekend and evening shifts or when otherwise requested, monitoring day-to-day program operations and providing support to staff in the absence of Program Supervisor, Assistant Supervisor and/or BIS. \n \n Maintains an awareness of program operations, staff performance and overall condition/wellness of persons supported through regular interactions and observations and by working together with the leadership team to identify and directly address, resolve, recommend actions or solutions and/or appropriately escalating concerns, signs and symptoms, problems or other occurrences.\n \n Completes and maintains all necessary trainings and certifications, including specialized trainings based on program and to ensure compliance with YAI policies or other applicable rules or regulations and clinical trainings as recommended by BIS, effectively applying skills or teaching others.\n \n Complies with all Federal, State, Local and other relevant regulatory agency requirements, including the Health Insurance Portability and Accountability Act (HIPAA).\n \n For certain assignments, may be required to operate YAI motor vehicle to transport individuals to and/or from programs, residences, community or other locations on a daily (or other regular) basis with appropriate credentials.\n \n Performs all other duties, as assigned\n\nExperienced Assistant BIS may be selected for assignment reporting into the BIS Department, under day-to-day supervision of Program Supervisor and BIS Supervisor performing the following tasks, in addition to the above:\n\n \n Provides support and coverage by performing ABIS tasks for multiple programs across assigned region, with assignments of varying length, frequency and schedule as determined by caseload needs and as directed by BIS Coordinator/Supervisor.\n \n Integrates into assigned program teams, demonstrating flexibility in accommodating the needs of each specific program and provides training on behavioral/clinical system to new staff, as needed.\n \n Obtains and effectively communicates behavioral/clinical information to interdisciplinary teams and families as directed by the BIS and ensures tracking and completion of follow-ups needed for the people we support across multiple programs.\n\nSchedule Tuesday - Saturday, 3pm-11pm\n\nMinimum Qualification Requirements including education, experience, licensure/certification, etc. and essential physical capabilities (e.g. lifting, assisting lifting, standing, etc.) \n\n \n Bachelor’s degree in psychology, social work or closely related Human Services discipline and at least six (6) months of experience working with individuals with intellectual and developmental disabilities (I/DD) and/or supporting adults or children with complex social-emotional, mental health and/or behavior support needs in a group or individual setting (home program, day treatment center, school, ABA environment, etc.) or\n \n Formal training, including college coursework in psychology, sociology, human behavior, mental health, special education and/or I/DD and at least two (2) years of experience as described above; or\n \n At least four (4) years of experience in a direct care role (e.g. DSP) in a YAI program in good standing; and\n \n Working knowledge of behavioral/psychiatric conditions, including the interplay between I/DD and other conditions and ability to effectively gather, document and accurately communicate related information to staff, clinical team and/or external providers; and\n \n Exceptional written and oral communication skills including the ability to professionally, coherently and objectively document services provided and summarize progress for billing and tracking purposes and to effectively convey information regarding individuals supported across various levels and with external providers or circles of support; and\n \n Ability and willingness to lead, direct and teach others technical skills and/or knowledge, both on-the-job and through formal training in group or individual settings; and\n \n Must hold foundational certifications for current service setting: Strategies for Crisis Intervention and Prevention – Revised (SCIP-R), CPR (issued by American Red Cross or American Heart Association) and YAI-issued Approved Medication Administration Personnel (AMAP) certification for residential assignments or Day Services Model Mentorship Training for day assignments.\n \n \n Current YAI employees changing settings must obtain AMAP (for new residential assignment) or Day Services Model Mentorship Training (for new day assignment) and any additional certifications as required by program assignment and persons supported within three (3) months of appointment\n \n Newly hired employees must obtain (and maintain) required YAI certifications based on setting and program within six (6) months of appointment; and\n \n \n Must maintain foundational certifications (as described above) and any required program-specific certifications; or\n \n Satisfactory equivalent combination of education, experience and/or training; however, all newly hired employees must be at least 18 years old.\n \n Ability to meet essential physical demands of position including frequent walking, sitting, standing, bending, twisting, stooping, kneeling, crouching, pushing, pulling and reaching with hands and arms; use hands to handle, finger or feel objects, tools or controls; assisting with lifting/moving individuals of any weight with assistance of mechanical lifts or other equipment and/or pushing individuals in wheelchairs; lifting and/or moving up to 25 pounds on occasion; having the physical capacity to work with and implement emergency interventions as per the person’s Behavior Support Plan if/as needed, including lifting/moving individuals of any weight with or without assistance of equipment and/or other staff.\n \n Ability and willingness to assist with a variety of supports and ADLs, including regular exposure to and handling of various bodily fluids with limited direction and in accordance with documented plans.\n \n Strong clinical skills including the ability to assess and analyze information or draw appropriate conclusions, communicate clinical rationales, effectively compile, compare and aggregate data/information; and interpret information.\n \n Ability to remain calm, act assertively and display professional competence and good judgment in stressful situations, including with challenging individuals or behaviors and work in a high energy, fast-paced environment.\n \n Proficiency with computers and electronic systems including email, utilizing Workday and/or related systems (DA, etc.) to complete tasks.\n \n Ability to work on a full-time basis, including at least one regularly scheduled weekend day and to work beyond regularly scheduled hours/shift and/or to report to work as scheduled on holidays, in inclement weather or during other emergencies to maintain minimum coverage requirements of program, unless otherwise authorized.\n \n Ability to travel to regional trainings or meetings at designated YAI locations within assigned region and to locations within NYC metro area on occasion. \n \n For assignments that require transporting persons supported by vehicle, must hold or obtain and maintain valid Driver’s License and Van certification (based on position/location/program).\n\nABIS assigned to BIS Department must also meet the following additional requirements:\n\n \n Three (3) years of experience working within I/DD field, including at least one (1) year as an Assistant BIS in a YAI program in good standing; and\n \n Ability to regularly travel to several programs within assigned region and work varying schedules/shifts, as needed; and\n \n Ability to quickly develop productive working relationships, address team challenges and work effectively with various teams.\n\nPreferred Qualification Requirements (desired requirements beyond MQRs above)\n\n \n Active pursuit of a Master’s degree in clinical or treatment field of psychology, social work, school psychology or applied psychology\n \n Bachelor’s degree in psychology, social work or closely related Human Services discipline\n \n Two (2) or more years of experience working within the field of I/DD\n\nCompensation $22.37 / hour - $22.37 / hour\n\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. YAI is an Equal Opportunity Employer.

Job Description:\n\nIf you are a current YAI employee, please click this link to apply through your Workday account.\n\nProgram\n\n \n 3 Alice Drive IRA\n\nLocation\n\n \n Nanuet - 3 Alice Drive\n\nSchedule (Full-time, Morning / Evening)\n\n \n Sunday; 11am-7pm\n \n Monday through Wednesday; 3pm-11pm\n \n Thursday; 11am-7pm\n\nKey/Essential Functions & Responsibilities\nAll Assistant Behavior Intervention Specialists (ABIS) perform the following tasks:\n\n \n Performs all duties of a Direct Support Professional (DSP 1 – 3) as indicated in job descriptions, in addition to ABIS duties on a regular basis and/or as requested to ensure the overall supervision, protection and care of individuals in program, assisting in maximizing their strengths, interests and abilities while upholding their personal rights and facilitating activities that provide social capital and connections to the community.\n \n Leads the identification, facilitation and scheduling of community inclusion activities for assigned program based on feedback from and needs of persons supported, coordinating resources, securing necessary funds and ensuring that activities are completed and appropriately documented.\n \n Supports provision of appropriate, therapeutically documented levels of supervision to ensure and protect the health, safety and well-being of individuals at all times by ensuring updates and changes to levels of supervision for persons we support are regularly communicated to all staff and appropriately documented; may run shift meetings, assigning duties, completing shift sheet and making recommendations to ensure staff are qualified and able to maintain current prescribed levels of supervision.\n \n Understands and uses specialized clinical knowledge of person-specific needs and signs or symptoms of ailments/syndromes including mental health/medical conditions to provide effective supports to individuals, identify and escalate concerns to leadership and inform activities, training or specialized education or augmented trainings for staff.\n \n Stays up to date with current issues, diagnoses, needs and levels of supervision for the persons supported in assigned program under the supervision of BIS.\n \n Works with BIS to identify habilitative, behavioral and psychiatric needs of the persons supported and to ensure all programming and activities relating to clinical interventions are implemented consistently, in accordance with individualized plans.\n \n Provides guidance to program staff, setting the appropriate tone and ensuring that the standards of care are followed by modeling excellent counseling skills and interactions with persons supported and through use of person-centered philosophy and tools.\n \n Implements Behavior Support Plans, demonstrating understanding of behavior as communication and employing person-centered thinking to support positive interactions and prevent further escalation.\n \n Trains direct care staff individually, on the floor and/or in groups using the EMOE training system to support effective implementation of habilitative and behavioral programming by program staff through regular observations, direct feedback, communicating clinical rationales and ensuring appropriate data collection techniques.\n \n Serves as lead trainer for weekend staff and supports new staff in developing and demonstrating the OPWDD Core Competencies.\n \n Participates in the development of treatment plans including individualized habilitative plans, collaborating with BIS to write services, goals, outcomes and/or supports in accordance with the agency philosophy, as determined by assessments of individual needs and learning capabilities.\n \n Assists BIS with gathering and collecting data required to conduct formal and informal behavioral and habilitative assessments (written questionnaires, standardized tests, rating scales, baseline data, etc.) by conducting observations and/or soliciting information from other direct support staff, circles of support or other sources, as applicable.\n \n Monitors collection of data used to assess progress toward habilitative and behavioral goals, ensuring that new data sheets are accessible to staff at the beginning of each month and that staff are consistently and accurately collecting and documenting data in accordance with established systems by reviewing documentation, retraining staff and following up as needed; may assist with design of data collection systems for habilitative goals.\n \n Completes and maintains all required paperwork and documentation for persons supported in appropriate format(s) and file(s) in accordance with applicable requirements including compiling, totaling and summarizing data, writing monthlies describing overall progress and completing person centered materials; reviews and ensures all psychiatric/therapy anecdotals are complete and appropriate and assists other program staff with documentation or compiling information or data, as needed or directed.\n \n Attends and actively participates in team meetings as a member of the interdisciplinary team (IDT), consulting with IDT to ensure streamlined and top-quality care and providing feedback or ideas to improve supports and/or program operations and updates or changes relating to data management, assessments or programming requirements.\n \n Regularly participates in life plan and other meetings for persons supported and in regional assistant or other clinical team meetings providing information, contributing to agendas and completing tasks or activities resulting from meetings as directed by leadership team (training, assessments, reviews, etc.).\n \n Serves as lead on weekend and evening shifts or when otherwise requested, monitoring day-to-day program operations and providing support to staff in the absence of Program Supervisor, Assistant Supervisor and/or BIS. \n \n Maintains an awareness of program operations, staff performance and overall condition/wellness of persons supported through regular interactions and observations and by working together with the leadership team to identify and directly address, resolve, recommend actions or solutions and/or appropriately escalating concerns, signs and symptoms, problems or other occurrences.\n \n Completes and maintains all necessary trainings and certifications, including specialized trainings based on program and to ensure compliance with YAI policies or other applicable rules or regulations and clinical trainings as recommended by BIS, effectively applying skills or teaching others.\n \n Complies with all Federal, State, Local and other relevant regulatory agency requirements, including the Health Insurance Portability and Accountability Act (HIPAA).\n \n For certain assignments, may be required to operate YAI motor vehicle to transport individuals to and/or from programs, residences, community or other locations on a daily (or other regular) basis with appropriate credentials.\n \n Performs all other duties, as assigned\n\nExperienced Assistant BIS may be selected for assignment reporting into the BIS Department, under day-to-day supervision of Program Supervisor and BIS Supervisor performing the following tasks, in addition to the above:\n\n \n Provides support and coverage by performing ABIS tasks for multiple programs across assigned region, with assignments of varying length, frequency and schedule as determined by caseload needs and as directed by BIS Coordinator/Supervisor.\n \n Integrates into assigned program teams, demonstrating flexibility in accommodating the needs of each specific program and provides training on behavioral/clinical system to new staff, as needed.\n \n Obtains and effectively communicates behavioral/clinical information to interdisciplinary teams and families as directed by the BIS and ensures tracking and completion of follow-ups needed for the people we support across multiple programs.\n\nMinimum Qualification Requirements including education, experience, licensure/certification, etc. and essential physical capabilities (e.g. lifting, assisting lifting, standing, etc.) \n\n \n Bachelor’s degree in psychology, social work or closely related Human Services discipline and at least six (6) months of experience working with individuals with intellectual and developmental disabilities (I/DD) and/or supporting adults or children with complex social-emotional, mental health and/or behavior support needs in a group or individual setting (home program, day treatment center, school, ABA environment, etc.) or\n \n Formal training, including college coursework in psychology, sociology, human behavior, mental health, special education and/or I/DD and at least two (2) years of experience as described above; or\n \n At least four (4) years of experience in a direct care role (e.g. DSP) in a YAI program in good standing; and\n \n Working knowledge of behavioral/psychiatric conditions, including the interplay between I/DD and other conditions and ability to effectively gather, document and accurately communicate related information to staff, clinical team and/or external providers; and\n \n Exceptional written and oral communication skills including the ability to professionally, coherently and objectively document services provided and summarize progress for billing and tracking purposes and to effectively convey information regarding individuals supported across various levels and with external providers or circles of support; and\n \n Ability and willingness to lead, direct and teach others technical skills and/or knowledge, both on-the-job and through formal training in group or individual settings; and\n \n Must hold foundational certifications for current service setting: Strategies for Crisis Intervention and Prevention – Revised (SCIP-R), CPR (issued by American Red Cross or American Heart Association) and YAI-issued Approved Medication Administration Personnel (AMAP) certification for residential assignments or Day Services Model Mentorship Training for day assignments.\n \n \n Current YAI employees changing settings must obtain AMAP (for new residential assignment) or Day Services Model Mentorship Training (for new day assignment) and any additional certifications as required by program assignment and persons supported within three (3) months of appointment\n \n Newly hired employees must obtain (and maintain) required YAI certifications based on setting and program within six (6) months of appointment; and\n \n \n Must maintain foundational certifications (as described above) and any required program-specific certifications; or\n \n Satisfactory equivalent combination of education, experience and/or training; however, all newly hired employees must be at least 18 years old.\n \n Ability to meet essential physical demands of position including frequent walking, sitting, standing, bending, twisting, stooping, kneeling, crouching, pushing, pulling and reaching with hands and arms; use hands to handle, finger or feel objects, tools or controls; assisting with lifting/moving individuals of any weight with assistance of mechanical lifts or other equipment and/or pushing individuals in wheelchairs; lifting and/or moving up to 25 pounds on occasion; having the physical capacity to work with and implement emergency interventions as per the person’s Behavior Support Plan if/as needed, including lifting/moving individuals of any weight with or without assistance of equipment and/or other staff.\n \n Ability and willingness to assist with a variety of supports and ADLs, including regular exposure to and handling of various bodily fluids with limited direction and in accordance with documented plans.\n \n Strong clinical skills including the ability to assess and analyze information or draw appropriate conclusions, communicate clinical rationales, effectively compile, compare and aggregate data/information; and interpret information.\n \n Ability to remain calm, act assertively and display professional competence and good judgment in stressful situations, including with challenging individuals or behaviors and work in a high energy, fast-paced environment.\n \n Proficiency with computers and electronic systems including email, utilizing Workday and/or related systems (DA, etc.) to complete tasks.\n \n Ability to work on a full-time basis, including at least one regularly scheduled weekend day and to work beyond regularly scheduled hours/shift and/or to report to work as scheduled on holidays, in inclement weather or during other emergencies to maintain minimum coverage requirements of program, unless otherwise authorized.\n \n Ability to travel to regional trainings or meetings at designated YAI locations within assigned region and to locations within NYC metro area on occasion. \n \n For assignments that require transporting persons supported by vehicle, must hold or obtain and maintain valid Driver’s License and Van certification (based on position/location/program).\n\nABIS assigned to BIS Department must also meet the following additional requirements:\n\n \n Three (3) years of experience working within I/DD field, including at least one (1) year as an Assistant BIS in a YAI program in good standing; and\n \n Ability to regularly travel to several programs within assigned region and work varying schedules/shifts, as needed; and\n \n Ability to quickly develop productive working relationships, address team challenges and work effectively with various teams.\n\nPreferred Qualification Requirements (desired requirements beyond MQRs above)\n\n \n Active pursuit of a Master’s degree in clinical or treatment field of psychology, social work, school psychology or applied psychology\n \n Bachelor’s degree in psychology, social work or closely related Human Services discipline\n \n Two (2) or more years of experience working within the field of I/DD\n\nBenefits:\n\n \n DailyPay available - Work today, get paid today!\n \n Tuition reimbursement\n \n Medical and dental insurance (with options for family and more extensive medical plans, as well as vision)\n \n Paid vacation, holidays, and sick time\n \n 403(b) retirement with employer match\n \n Life insurance and long-term disability\n \n Discounts on travel, entertainment, wireless services, shopping, and more. Check out our benefits page to learn more!\n\nCompensation\n\n \n $23.10/hour - $23.10/hour\n\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. YAI is an Equal Opportunity Employer.\n\nTo ensure fairness, safeguard transparency, and promote an equitable workforce environment, YAI Network prohibits the practice of nepotism in the workforce and hiring process.

Job Description:\n\nIf you are a current YAI employee, please click this link to apply through your Workday account.\n\nAbout the Position\n\nWe are hiring Assistant Behavior Intervention Specialists (ABIS) in Brooklyn!\n\nThe ABIS works closely with people of all ages who have intellectual and developmental disabilities (I/DD). Depending on the supports needed, the ABIS may work in a person’s home, in their family’s home, in a YAI residence, at a day habilitation center, or out in the community. \n\nYAI's Mission\n\nReady to join our 4,000+ employees in a career at YAI? \nWorking at YAI means effecting real change in people's lives. It means going home at the end of the day knowing you have helped someone accomplish a goal. If you want a career supporting others, creatively finding solutions to life's challenges, and building a more inclusive community, YAI is the place for you! \n\nJoin us in our mission to create opportunities for people with intellectual and developmental disabilities to live, love, work, and learn in their communities. Learn more at yai.org/careers. \n\nProgram\n\n Residential Services\n\nLocation\n\n Brooklyn, New York\n\nSchedule (Full Time)\n\n Sunday - Thursday evenings; hours vary by location\n\nKey/Essential Functions & Responsibilities\nAll Assistant Behavior Intervention Specialists (ABIS) perform the following tasks:\n\n Performs all duties of a Direct Support Professional (DSP 1 – 3) as indicated in job descriptions, in addition to ABIS duties on a regular basis and/or as requested to ensure the overall supervision, protection and care of individuals in program, assisting in maximizing their strengths, interests and abilities while upholding their personal rights and facilitating activities that provide social capital and connections to the community.\n Leads the identification, facilitation and scheduling of community inclusion activities for assigned program based on feedback from and needs of persons supported, coordinating resources, securing necessary funds and ensuring that activities are completed and appropriately documented.\n Supports provision of appropriate, therapeutically documented levels of supervision to ensure and protect the health, safety and well-being of individuals at all times by ensuring updates and changes to levels of supervision for persons we support are regularly communicated to all staff and appropriately documented; may run shift meetings, assigning duties, completing shift sheet and making recommendations to ensure staff are qualified and able to maintain current prescribed levels of supervision.\n Understands and uses specialized clinical knowledge of person-specific needs and signs or symptoms of ailments/syndromes including mental health/medical conditions to provide effective supports to individuals, identify and escalate concerns to leadership and inform activities, training or specialized education or augmented trainings for staff.\n Stays up to date with current issues, diagnoses, needs and levels of supervision for the persons supported in assigned program under the supervision of BIS.\n Works with BIS to identify habilitative, behavioral and psychiatric needs of the persons supported and to ensure all programming and activities relating to clinical interventions are implemented consistently, in accordance with individualized plans.\n Provides guidance to program staff, setting the appropriate tone and ensuring that the standards of care are followed by modeling excellent counseling skills and interactions with persons supported and through use of person-centered philosophy and tools.\n Implements Behavior Support Plans, demonstrating understanding of behavior as communication and employing person-centered thinking to support positive interactions and prevent further escalation.\n Trains direct care staff individually, on the floor and/or in groups using the EMOE training system to support effective implementation of habilitative and behavioral programming by program staff through regular observations, direct feedback, communicating clinical rationales and ensuring appropriate data collection techniques.\n Serves as lead trainer for weekend staff and supports new staff in developing and demonstrating the OPWDD Core Competencies.\n Participates in the development of treatment plans including individualized habilitative plans, collaborating with BIS to write services, goals, outcomes and/or supports in accordance with the agency philosophy, as determined by assessments of individual needs and learning capabilities.\n Assists BIS with gathering and collecting data required to conduct formal and informal behavioral and habilitative assessments (written questionnaires, standardized tests, rating scales, baseline data, etc.) by conducting observations and/or soliciting information from other direct support staff, circles of support or other sources, as applicable.\n Monitors collection of data used to assess progress toward habilitative and behavioral goals, ensuring that new data sheets are accessible to staff at the beginning of each month and that staff are consistently and accurately collecting and documenting data in accordance with established systems by reviewing documentation, retraining staff and following up as needed; may assist with design of data collection systems for habilitative goals.\n Completes and maintains all required paperwork and documentation for persons supported in appropriate format(s) and file(s) in accordance with applicable requirements including compiling, totaling and summarizing data, writing monthlies describing overall progress and completing person centered materials; reviews and ensures all psychiatric/therapy anecdotals are complete and appropriate and assists other program staff with documentation or compiling information or data, as needed or directed.\n Attends and actively participates in team meetings as a member of the interdisciplinary team (IDT), consulting with IDT to ensure streamlined and top-quality care and providing feedback or ideas to improve supports and/or program operations and updates or changes relating to data management, assessments or programming requirements.\n Regularly participates in life plan and other meetings for persons supported and in regional assistant or other clinical team meetings providing information, contributing to agendas and completing tasks or activities resulting from meetings as directed by leadership team (training, assessments, reviews, etc.).\n Serves as lead on weekend and evening shifts or when otherwise requested, monitoring day-to-day program operations and providing support to staff in the absence of Program Supervisor, Assistant Supervisor and/or BIS. \n Maintains an awareness of program operations, staff performance and overall condition/wellness of persons supported through regular interactions and observations and by working together with the leadership team to identify and directly address, resolve, recommend actions or solutions and/or appropriately escalating concerns, signs and symptoms, problems or other occurrences.\n Completes and maintains all necessary trainings and certifications, including specialized trainings based on program and to ensure compliance with YAI policies or other applicable rules or regulations and clinical trainings as recommended by BIS, effectively applying skills or teaching others.\n Complies with all Federal, State, Local and other relevant regulatory agency requirements, including the Health Insurance Portability and Accountability Act (HIPAA).\n For certain assignments, may be required to operate YAI motor vehicle to transport individuals to and/or from programs, residences, community or other locations on a daily (or other regular) basis with appropriate credentials.\n Performs all other duties, as assigned\n\nExperienced Assistant BIS may be selected for assignment reporting into the BIS Department, under day-to-day supervision of Program Supervisor and BIS Supervisor performing the following tasks, in addition to the above:\n\n Provides support and coverage by performing ABIS tasks for multiple programs across assigned region, with assignments of varying length, frequency and schedule as determined by caseload needs and as directed by BIS Coordinator/Supervisor.\n Integrates into assigned program teams, demonstrating flexibility in accommodating the needs of each specific program and provides training on behavioral/clinical system to new staff, as needed.\n Obtains and effectively communicates behavioral/clinical information to interdisciplinary teams and families as directed by the BIS and ensures tracking and completion of follow-ups needed for the people we support across multiple programs.\n\nMinimum Qualification Requirements including education, experience, licensure/certification, etc. and essential physical capabilities (e.g. lifting, assisting lifting, standing, etc.)\n\n Bachelor’s degree in psychology, social work or closely related Human Services discipline and at least six (6) months of experience working with individuals with intellectual and developmental disabilities (I/DD) and/or supporting adults or children with complex social-emotional, mental health and/or behavior support needs in a group or individual setting (home program, day treatment center, school, ABA environment, etc.) or\n Formal training, including college coursework in psychology, sociology, human behavior, mental health, special education and/or I/DD and at least two (2) years of experience as described above; or\n At least four (4) years of experience in a direct care role (e.g. DSP) in a YAI program in good standing; and\n Working knowledge of behavioral/psychiatric conditions, including the interplay between I/DD and other conditions and ability to effectively gather, document and accurately communicate related information to staff, clinical team and/or external providers; and\n Exceptional written and oral communication skills including the ability to professionally, coherently and objectively document services provided and summarize progress for billing and tracking purposes and to effectively convey information regarding individuals supported across various levels and with external providers or circles of support; and\n Ability and willingness to lead, direct and teach others technical skills and/or knowledge, both on-the-job and through formal training in group or individual settings; and\n Must hold foundational certifications for current service setting: Strategies for Crisis Intervention and Prevention – Revised (SCIP-R), CPR (issued by American Red Cross or American Heart Association) and YAI-issued Approved Medication Administration Personnel (AMAP) certification for residential assignments or Day Services Model Mentorship Training for day assignments.Current YAI employees changing settings must obtain AMAP (for new residential assignment) or Day Services Model Mentorship Training (for new day assignment) and any additional certifications as required by program assignment and persons supported within three (3) months of appointmentNewly hired employees must obtain (and maintain) required YAI certifications based on setting and program within six (6) months of appointment; and\n Must maintain foundational certifications (as described above) and any required program-specific certifications; or\n Satisfactory equivalent combination of education, experience and/or training; however, all newly hired employees must be at least 18 years old.\n Ability to meet essential physical demands of position including frequent walking, sitting, standing, bending, twisting, stooping, kneeling, crouching, pushing, pulling and reaching with hands and arms; use hands to handle, finger or feel objects, tools or controls; assisting with lifting/moving individuals of any weight with assistance of mechanical lifts or other equipment and/or pushing individuals in wheelchairs; lifting and/or moving up to 25 pounds on occasion; having the physical capacity to work with and implement emergency interventions as per the person’s Behavior Support Plan if/as needed, including lifting/moving individuals of any weight with or without assistance of equipment and/or other staff.\n Ability and willingness to assist with a variety of supports and ADLs, including regular exposure to and handling of various bodily fluids with limited direction and in accordance with documented plans.\n Strong clinical skills including the ability to assess and analyze information or draw appropriate conclusions, communicate clinical rationales, effectively compile, compare and aggregate data/information; and interpret information.\n Ability to remain calm, act assertively and display professional competence and good judgment in stressful situations, including with challenging individuals or behaviors and work in a high energy, fast-paced environment.\n Proficiency with computers and electronic systems including email, utilizing Workday and/or related systems (DA, etc.) to complete tasks.\n Ability to work on a full-time basis, including at least one regularly scheduled weekend day and to work beyond regularly scheduled hours/shift and/or to report to work as scheduled on holidays, in inclement weather or during other emergencies to maintain minimum coverage requirements of program, unless otherwise authorized.\n Ability to travel to regional trainings or meetings at designated YAI locations within assigned region and to locations within NYC metro area on occasion. \n For assignments that require transporting persons supported by vehicle, must hold or obtain and maintain valid Driver’s License and Van certification (based on position/location/program).\n\nABIS assigned to BIS Department must also meet the following additional requirements:\n\n Three (3) years of experience working within I/DD field, including at least one (1) year as an Assistant BIS in a YAI program in good standing; and\n Ability to regularly travel to several programs within assigned region and work varying schedules/shifts, as needed; and\n Ability to quickly develop productive working relationships, address team challenges and work effectively with various teams.\n\nPreferred Qualification Requirements (desired requirements beyond MQRs above)\n\n Active pursuit of a Master’s degree in clinical or treatment field of psychology, social work, school psychology or applied psychology\n Bachelor’s degree in psychology, social work or closely related Human Services discipline\n Two (2) or more years of experience working within the field of I/DD\n\nCompensation\n\n $23.10/hour\n\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. YAI is an Equal Opportunity Employer.\n\nTo ensure fairness, safeguard transparency, and promote an equitable workforce environment, YAI Network prohibits the practice of nepotism in the workforce and hirin

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One \n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI \n • \n Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts \n • \n Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems \n • \n Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery \n • \n Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance \n • \n Track record mentoring engineers/scientists to productize prototypes and meet production SLOs \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description:\n\nIf you are a current YAI employee, please click this link to apply through your Workday account.\n\nPosition: Assistant Behavior Intervention Specialist\n\nWe are hiring a Full-Time Assistant Behavior Intervention Specialist position at our City Line 1 & 2 IRAs.\n\n \n \n \n \n Job Summary \n \n \n YAI promotes a person-centered approach by creating supports that cater to the specific needs of each person. Under supervision of the Program Supervisor, the ABIS provides direct support to individuals with intellectual and developmental (I/DD) disabilities, promoting community integration and inclusion, assisting with activities of daily living (ADLs) including intimate and personal care, teaching daily and independent living skills, providing individual and group counseling, and performing all other duties of a DSP. Assistant Behavior Intervention Specialists provide clinical support relating to habilitative, behavioral, and psychiatric needs of persons supported by the team under the direction and supervision of the Behavior Intervention Specialist (BIS). This is done through educating other direct care staff and program leadership on habilitative and Behavior Support Plans, supporting clinical assessments and interventions, ensuring consistent and effective data collection, and providing direct feedback. The ABIS provides leadership to the team on shift, directing and assisting direct care staff in the absence of supervisor and/or assistant supervisor. \n \n \n \n \n \n Schedule:\n \n \n \n \n Full-Time evenings only \n \n \n \n \n \n Sunday – Thursday 3:00pm – 11:00pm \n \n \n \n \n \n \n Compensation:\n \n \n \n \n $23.10 - $23.10 / hour \n \n \n \n \n \n \n Key/Essential Functions & Responsibilities: \n \n \n \n \n Performs all duties of a Direct Support Professional (DSP 1 – 3) as indicated in job descriptions, in addition to ABIS duties on a regular basis and/or as requested to ensure the overall supervision, protection and care of individuals in program, assisting in maximizing their strengths, interests and abilities while upholding their personal rights and facilitating activities that provide social capital and connections to the community. \n \n \n \n \n \n Leads the identification, facilitation, and scheduling of community inclusion activities for assigned program based on feedback from and needs of persons supported. \n \n \n \n \n \n Coordinating resources, securing necessary funds, and ensuring that activities are completed and appropriately documented. \n \n \n \n \n \n Supports provision of appropriate, therapeutically documented levels of supervision to ensure and protect the health, safety, and well-being of individuals at all times by ensuring updates and changes to levels of supervision for persons we support are regularly communicated to all staff and appropriately documented; may run shift meetings, assigning duties, completing shift sheet and making recommendations to ensure staff are qualified and able to maintain current prescribed levels of supervision. \n \n \n \n \n \n Understands and uses specialized clinical knowledge of person-specific needs and signs or symptoms of ailments/syndromes including mental health/medical conditions to provide effective supports to individuals, identify and escalate concerns to leadership, and inform activities, training, or specialized education or augmented trainings for staff. \n \n \n\n \n \n \n Stays up to date with current issues, diagnoses, needs, and levels of supervision for the persons supported in assigned program under the supervision of BIS. \n \n \n \n \n \n Works with BIS to identify habilitative, behavioral, and psychiatric needs of the persons supported and to ensure all programming and activities relating to clinical interventions are implemented consistently, in accordance with individualized plans. \n \n \n \n \n \n Provides guidance to program staff, setting the appropriate tone and ensuring that the standards of care are followed by modeling excellent counseling skills and interactions with persons supported and through use of person-centered philosophy and tools. \n \n \n \n \n \n Implements Behavior Support Plans, demonstrating understanding of behavior as communication and employing person-centered thinking to support positive interactions and prevent further escalation. \n \n \n \n \n \n Trains direct care staff individually, on the floor and/or in groups using the EMOE training system to support effective implementation of habilitative and behavioral programming by program staff through regular observations, direct feedback, communicating clinical rationales, and ensuring appropriate data collection techniques. \n \n \n \n \n \n Serves as lead trainer for weekend staff and supports new staff in developing and demonstrating the OPWDD Core Competencies. \n \n \n \n \n \n Participates in the development of treatment plans including individualized habilitative plans, collaborating with BIS to write services, goals, outcomes and/or supports in accordance with the agency philosophy, as determined by assessments of individual needs and learning capabilities. \n \n \n \n \n \n Assists BIS with gathering and collecting data required to conduct formal and informal behavioral and habilitative assessments (written questionnaires, standardized tests, rating scales, baseline data, etc.) by conducting observations and/or soliciting information from other direct support staff, circles of support or other sources, as applicable. \n \n \n \n \n \n Monitors collection of data used to assess progress toward habilitative and behavioral goals, ensuring that new data sheets are accessible to staff at the beginning of each month and that staff are consistently and accurately collecting and documenting data in accordance with established systems by reviewing documentation, retraining staff and following up as needed; may assist with design of data collection systems for habilitative goals. \n \n \n \n \n \n Completes and maintains all required paperwork and documentation for persons supported in appropriate format(s) and file(s) in accordance with applicable requirements including compiling, totaling and summarizing data, writing monthlies describing overall progress and completing person centered materials; reviews and ensures all psychiatric/therapy anecdotals are complete and appropriate and assists other program staff with documentation or compiling information or data, as needed or directed. \n \n \n \n \n \n Attends and actively participates in team meetings as a member of the interdisciplinary team (IDT), consulting with IDT to ensure streamlined and top-quality care and providing feedback or ideas to improve supports and/or program operations and updates or changes relating to data management, assessments or programming requirements. \n \n \n \n \n \n Regularly participates in life plan and other meetings for persons supported and in regional assistant or other clinical team meetings providing information, contributing to agendas and completing tasks or activities resulting from meetings as directed by leadership team (training, assessments, reviews, etc.). \n \n \n \n \n \n Serves as lead on weekend and evening shifts or when otherwise requested, monitoring day-to-day program operations and providing support to staff in the absence of Program Supervisor, Assistant Supervisor and/or BIS. \n \n \n \n \n \n Maintains an awareness of program operations, staff performance and overall condition/wellness of persons supported through regular interactions and observations and by working together with the leadership team to identify and directly address, resolve, recommend actions or solutions and/or appropriately escalating concerns, signs and symptoms, problems or other occurrences. \n \n \n \n \n \n Completes and maintains all necessary trainings and certifications, including specialized trainings based on program and to ensure compliance with YAI policies or other applicable rules or regulations and clinical trainings as recommended by BIS, effectively applying skills or teaching others. \n \n \n \n \n \n Complies with all Federal, State, Local and other relevant regulatory agency requirements, including the Health Insurance Portability and Accountability Act (HIPAA). \n \n \n \n \n \n For certain assignments, may be required to operate YAI motor vehicle to transport individuals to and/or from programs, residences, community or other locations on a daily (or other regular) basis with appropriate credentials. \n \n \n \n \n \n Performs all other duties, as assigned \n \n \n \n \n \n \n Minimum Qualification Requirements:\n \n\n \n \n \n Bachelor’s degree in psychology, social work, or closely related Human Services discipline and at least six (6) months of experience working with individuals with intellectual and developmental disabilities (I/DD) and/or supporting adults or children with complex social-emotional, mental health, and/or behavior support needs in a group or individual setting (home program, day treatment center, school, ABA environment, etc.); or \n \n \n \n \n \n Formal training, including college coursework in psychology, sociology, human behavior, mental health, special education, and/or I/DD and at least two (2) years of experience as described above; or \n \n \n \n \n \n At least four (4) years of experience in a direct care role (e.g. DSP) in a YAI program in good standing; and \n \n \n \n \n \n Working knowledge of behavioral/psychiatric conditions, including the interplay between I/DD and other conditions, and ability to effectively gather, document, and accurately communicate related information to staff, clinical team, and/or external providers; and \n \n \n \n \n \n Exceptional written and oral communication skills including the ability to professionally, coherently, and objectively; document services provided and summarize progress for billing and tracking purposes; and to effectively convey information regarding individuals supported across various levels and with external providers or circles of support; and \n \n \n \n \n \n Ability and willingness to lead, direct, and teach others technical skills and/or knowledge, both on-the-job and through formal training in group or individual settings; and \n \n \n \n \n \n Must hold foundational certifications for current service setting: Strategies for Crisis Intervention and Prevention – Revised (SCIP-R), CPR (issued by American Red Cross or American Heart Association) and YAI issued Approved Medication Administration Personnel (AMAP) certification for residential assignments or Day Services Model Mentorship Training for day assignments. \n \n \n \n \n \n Current YAI employees changing settings must obtain AMAP (for new residential assignment) or Day Services Model Mentorship Training (for new day assignment) and any additional certifications as required by program assignment and persons supported within three (3) months of appointment \n \n \n \n \n \n Newly hired employees must obtain (and maintain) required YAI certifications based on setting and program within six (6) months of appointment; and \n \n \n \n \n \n Must maintain foundational certifications (as described above) and any required program-specific certifications; or \n \n \n \n \n \n Satisfactory equivalent combination of education, experience and/or training; however, all newly hired employees must be at least 18 years old. \n \n \n \n \n \n Ability to meet essential physical demands of position including frequent walking, sitting, standing, bending, twisting, stooping, kneeling, crouching, pushing, pulling and reaching with hands and arms; use hands to handle, finger or feel objects, tools or controls; assisting with lifting/moving individuals of any weight with assistance of mechanical lifts or other equipment and/or pushing individuals in wheelchairs; lifting and/or moving up to 25 pounds on occasion; having the physical capacity to work with and implement emergency interventions as per the person’s Behavior Support Plan if/as needed, including lifting/moving individuals of any weight with or without assistance of equipment and/or other staff. \n \n \n \n \n \n Ability and willingness to assist with a variety of supports and ADLs, including regular exposure to and handling of various bodily fluids with limited direction and in accordance with documented plans. \n \n \n \n \n \n Strong clinical skills including the ability to assess and analyze information or draw appropriate conclusions, communicate clinical rationales, effectively compile, compare and aggregate data/information; and interpret information. \n \n \n \n \n \n Ability to remain calm, act assertively and display professional competence and good judgment in stressful situations, including with challenging individuals or behaviors and work in a high energy, fast-paced environment. \n \n \n \n \n \n Proficiency with computers and electronic systems including email, utilizing Workday and/or related systems (DA, etc.) to complete tasks. \n \n \n \n \n \n Ability to work on a full-time basis, including at least one regularly scheduled weekend day and to work beyond regularly scheduled hours/shift and/or to report to work as scheduled on holidays, in inclement weather or during other emergencies to maintain minimum coverage requirements of program, unless otherwise authorized. \n \n \n \n \n \n Ability to travel to regional trainings or meetings at designated YAI locations within assigned region and to locations within NYC metro area on occasion. \n \n \n \n \n \n For assignments that require transporting persons supported by vehicle, must hold or obtain and maintain valid Driver’s License and Van certification (based on position/location/program). \n \n \n \n \n \n\n \n Preferred Qualification Requirements (desired requirements beyond MQRs above):\n \n \n \n \n Active pursuit of a Master’s degree in clinical or treatment field of psychology, social work, school psychology, or applied psychology \n \n \n \n \n \n Bachelor’s degree in psychology, social work or closely related Human Services discipline \n \n \n \n \n \n Two (2) or more years of experience working within the field of I/DD \n \n \n \n \n \n \n YAI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. \n \n\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. YAI is an Equal Opportunity Employer.\n\nTo ensure fairness, safeguard transparency, and promote an equitable workforce environment, YAI Network prohibits the practice of nepotism in the workforce and hiring process.

Job DescriptionAbout the Role Given the start-up nature of Stray, our new Operations & Finance team member will build the enabling infrastructure that allows Stray to operate at the frontier of regenerative finance with the peace of mind that we are building an operationally excellent fund. This is an autonomous, high-ownership, hands-on role requiring the judgment to distinguish between what needs escalation to the leadership team and what should simply be handled. You will own fund/portfolio ops and LP reporting, design and maintain team operations systems, provide financial modeling support as needed, manage fund admin/tax/audit service provider relationships, and coordinate with leadership to ensure we are delivering on Stray’s role and potential in facilitating systems change. This is a team-of-one position reporting directly to the Partner. The ideal candidate has operated at this level before—at a small fund, family office, or similar context—and is drawn to Stray because (1) you want your operational skills to serve a purpose greater than institutional efficiency and (2)you like being involved in many different projects at the same time. How This Role Will Resource Us Fund Finance & LP Relations (~40%) Own LP reporting: independently produce narratives, financial schedules, and portfolio summaries within required timelines, coordinating with fund admin as needed. What Stray is attempting is unusual, which makes LP reporting a programmatic function as much as an administrative one. Your reporting, in collaboration with our Sr. Manager of Ecosystem & Impact, should help translate what we are doing to various LP audiences, deepen how they see their own role in it, and show how Stray’s portfolio facilitates systems change that supports LPs’ larger portfolios—all while preserving the substance of the work rather than flattening it into conventional reporting categories. Serve as Stray’s primary interface with accounting, tax, and fund administration: manage the relationships, arrange capital calls and payments, coordinate tax preparation, and escalate strategic decisions to leadership as needed Lead the annual audit process end-to-end: coordinate annual financial report preparation, respond to auditor requests, and manage timeline Team Operations & Ecosystem Logistics (~35%) Design and own Stray’s operational infrastructure: team workflows, meeting cadences, decision-making frameworks, and cross-functional coordination systems Collaborate with other team members on external communications and ecosystem weaving: LP update emails, IC engagement infrastructure, portfolio support, ecosystem intelligence tools, and event logistics Project manage Stray’s experiments and partnerships: assess which efforts we should take on ourselves vs which we can encourage a partner or network to carry, track Stray-owned projects, and keep close tabs on collaborators and next steps, without prescribing outcomes Own HR workflows including onboarding, hiring, and benefits administration Maintain and develop Stray’s Notion workspace (with external consultants as needed) as the team’s operational backbone Portfolio Operations & Financial Modeling (~25%) Architect and maintain fund model: own portfolio NAV tracking, financial projections, and scenario analyses that optimize for portfolio-wide anti-fragility, resilience, interconnectedness, and responsible capital stewardship Co-develop portfolio monitoring infrastructure with Sr. Manager of Ecosystem & Impact: coordinate portfolio reporting, track financial and impact performance, and synthesize data for LP reporting and IC review Support investment team with ad hoc financial modeling: perform returns analyses for deals in diligence with non-traditional capital structures and financial dynamics Design and maintain investment operations and closing processes that scale with the fund’s growth RequirementsWho We’re Hoping Will “Stray” With Us Education and Professional Experience 5+ years of experience in investment/portfolio operations, family office or fund back-office finance, or fund administration, with meaningful responsibility for LP reporting Demonstrated track record of developing internal systems that facilitate multi-stakeholder collaboration and complex decision-making Strong working knowledge of fund accounting, waterfall structures, capital account mechanics, and audit processes Proficiency with financial modeling, including portfolio-wide and deal-level analyses Experience managing service provider relationships as a primary point of contact Tech-fluent with Notion, Google Workspace, MS Office, Miro; and comfortable evaluating when new tech systems may be necessary Skills and Personal Traits Executes with independence and transparency: identifies what needs to be done; makes recommendations for how to do it; executes independently when it makes sense; and knows when to ask for help, approval, or collaboration Clear, confident communicator with LP-facing writing quality: able to produce polished reports, LP updates, and other external correspondence/memos without heavy editing Comfortable architecting systems in ambiguous conditions, drawing on prior experience without being constrained by it Understands and is committed to Stray’s mission, holding the point of view that operational excellence in a fund like this is a form of systems stewardship Uses AI responsibly, safely, and ethically: comfortable utilizing emerging technologies as a tool to support language, clarity, flow, or data aggregation; not as a crutch or replacement for human ingenuity

We are seeking a dynamic, strategic, and hands-on Vice President of Operations to lead the overall operational performance of a key production facility within the Culinary division. This executive will have full accountability for plant operations, operational transformation, financial performance, leadership development, workforce optimization, and scalability across a ~70,000 sq. ft. facility. The VP of Operations will play a critical role in transforming the operation from its current single-shift model into a highly efficient, multi-shift operation capable of supporting significant growth. This is a highly visible executive leadership position with direct responsibility for operational performance, P&L management, talent development, process improvement, and execution of the company's broader growth strategy. The ideal candidate will combine strong operational leadership with financial acumen, executive presence, and the ability to build and develop high-performing teams. Key Responsibilities Executive Leadership & Strategy • Provide overall strategic and operational leadership for the Brooklyn culinary production facility., • Develop and execute the site's operational strategy in alignment with broader company growth objectives., • Serve as a senior leader within the organization, partnering with executive leadership on growth, capacity planning, capital investments, and operational strategy., • Establish clear performance expectations, accountability structures, and operating rhythms across the organization., • Lead the organization through significant transformation, change management, and continued growth., • Identify opportunities to improve scalability, profitability, productivity, and overall organizational effectiveness. Financial Leadership & P&L Responsibility • Assume full P&L responsibility for the facility, with accountability for revenue, labor, cost of goods, overhead, EBITDA, and overall profitability., • Develop, manage, and execute annual operating budgets and financial forecasts., • Establish and monitor key financial and operational KPIs to drive accountability and performance., • Partner with Finance to analyze financial performance, identify variances, and develop corrective action plans., • Drive labor productivity, cost reduction, margin improvement, and operational efficiency initiatives., • Evaluate capital expenditures and investments based on ROI, capacity requirements, and long-term business objectives., • Translate financial results into actionable operating strategies for the leadership team. Overall Plant Operations • Have executive oversight of all day-to-day plant operations, including production, warehouse, supply chain, quality, safety, maintenance, and workforce management., • Oversee production across 8+ production lines, ensuring quality, consistency, safety, throughput, and on-time performance., • Lead the transition from the current one-shift operation toward a two- to three-shift environment as demand increases., • Develop capacity plans and operational infrastructure to support future growth., • Optimize workflows, facility utilization, production scheduling, labor deployment, and overall plant productivity., • Establish and maintain operational excellence standards across the facility., • Ensure compliance with food safety, employee safety, quality, regulatory, and company standards., • Evaluate and expand product capabilities and production capacity., • Optimize the labor model across both W2 and contract employees. Leadership Development & Talent Management • Build, develop, and retain a high-performing plant leadership team capable of supporting a rapidly growing operation., • Establish a strong culture of accountability, ownership, continuous improvement, and operational excellence., • Coach and mentor senior leaders and frontline managers, creating clear development plans and succession pathways., • Identify high-potential leaders and develop internal talent to support future organizational growth., • Establish leadership KPIs and performance expectations across all levels of the organization., • Drive organizational design and workforce planning as the facility scales., • Create a leadership culture that emphasizes communication, collaboration, transparency, and accountability., • Partner with HR on talent acquisition, retention, performance management, compensation, and organizational development., • Build a scalable leadership structure capable of supporting multiple shifts and increased production volume. Operational Transformation & Continuous Improvement • Lead a comprehensive transformation of the facility's operating model., • Identify and eliminate operational inefficiencies, bottlenecks, waste, and unnecessary costs., • Implement best practices in Lean manufacturing, continuous improvement, safety, quality, and operational excellence., • Establish measurable improvement initiatives with clear ownership, timelines, and financial impact., • Utilize data and KPIs to drive decision-making and continuously improve operational performance., • Create a culture where continuous improvement becomes embedded into daily operations. Cross-Functional & Growth Leadership • Partner closely with Supply Chain, Finance, HR, Sales, Quality, Warehouse, and other corporate functions., • Ensure alignment between production capacity, customer demand, labor requirements, and financial objectives., • Support integration and scaling initiatives associated with acquisitions and broader platform growth., • Partner with executive leadership on future facility expansion, acquisitions, capital projects, and strategic initiatives., • Serve as a key operational voice in determining how the business scales. Qualifications • 10+ years of progressive operations leadership experience within food manufacturing, foodservice, culinary production, or a related industry., • Demonstrated success leading large-scale plant or multi-site operations., • Experience with facilities supporting $30M+ in revenue and/or 150+ employees preferred., • Proven experience with full P&L ownership and financial accountability., • Strong understanding of labor, COGS, EBITDA, budgeting, forecasting, and operational financial drivers., • Demonstrated experience scaling production operations, including multi-shift environments., • Strong background in operational transformation, process improvement, and continuous improvement., • Experience leading large, multi-layered workforces, including both W2 and contract labor., • Proven track record of building, developing, and retaining high-performing leadership teams., • Experience operating in a high-growth and/or Private Equity-backed environment preferred., • Strong executive presence with the ability to influence across an organization., • Demonstrated ability to lead through significant change and organizational transformation., • Strong analytical, strategic, and problem-solving capabilities.

This is the opportunity to step into a lean team where your work lands directly on the Global Controller's desk and senior leadership knows your name from day one. You'll own your own broker-dealer legal entities end to end, driving month-end close, reconciliations, regulatory reporting, US GAAP financials, and annual audits while partnering with SEC Reporting, Tax, Treasury, and Corporate Accounting. This firm is investing heavily in AI and automation. Key Responsibilities: • Responsible for month-end close process and journal entries; expense accruals, and intercompany activities, • Assist in preparing annual audited financial statements for external financial reporting in compliance with U.S. GAAP, • Prepare quarterly reports in accordance with regulatory requirements and capital monitoring requirements, • Assist in preparing quarterly financial statements for financial reporting to external investors, • Perform the monthly balance sheet substantiation, evaluate adequacy of expense accruals, resolve issues, and escalate key items timely, • Prepare monthly and quarterly analytical reporting including commentary on balance sheet and P&L variances Qualifications: Bachelor’s degree in Accounting is required CPA is preferred Broker dealer experience is preferred 4-6 years of related experience in the financial accounting group of a financial services company preferred Big Four public accounting firm experience preferable Experience with applications such as Workiva, Tableau and Alteryx preferred

Senior Strategic Advisor, DAF & Philanthropic Capital Six-Month Fractional Consulting Engagement | Remote | NYC, Washington, DC or Chicago preferred Help turn philanthropic capital into economic mobility Across the United States, established small businesses create jobs and anchor communities—yet too many growth-minded owners lack the guidance, networks and appropriate capital needed to scale. Founders First Community Development Corporation (FFCDC) exists to change that. We equip underinvested entrepreneurs with practical capacity-building, funding readiness and connections that help their businesses grow toward the mid-market. We have already raised approximately $5 million through donor-advised funds (DAFs). Now we are seeking a senior, well-connected fundraising professional to expand that success—introducing donors to measurable economic mobility opportunities in the regions and among the types of business owners they care most about. This is a relationship-development and major-gifts execution assignment. The successful advisor will generate dozens of qualified donor appointments and help turn strong philanthropic alignment into timely commitments—not simply deliver a fundraising plan. About Founders First CDC Founded in 2015 in San Diego by serial entrepreneur Kim Folsom, FFCDC is a 501(c)(3) nonprofit and national economic mobility platform, originally launched as LIFT Development Enterprises. It has grown into one of the largest nonprofit accelerators serving underinvested, service-based small businesses in the United States. FFCDC focuses on established businesses—not startups—including those led by veterans, women and low- to moderate-income entrepreneurs, with revenues from $100,000 to $3 million or more and ambitions to scale toward the mid-market. Through the end of 2024, FFCDC served 3,686 companies across 20 states, supported the creation of 2,119 full-time jobs (59% at premium wages of $50,000+ with benefits), and helped member companies secure $106 million in external capital. In 2024 alone, FFCDC served more than 1,650 companies across 18 states through 74 program cohorts. Its programs include Passport to Funding, Passport Premium, FastPath and Zebra Leadership, complemented by targeted grant programs such as the Kitty Fund and Stephen L. Tadlock Fund. The organization reports $1.85 million in grants and prizes distributed to date and substantial revenue growth among program participants. FFCDC operates alongside affiliated Founders First Capital Partners, which provides alternative financing to a similar small-business market; the nonprofit’s role centers on education, readiness, capacity building and grant-supported economic mobility. The opportunity: expand on proven DAF success The advisor will help advance a $2 million DAF growth initiative within FFCDC’s broader fundraising effort, with an engagement-level objective of sourcing and advancing $1 million or more in philanthropic commitments. This work will build on existing DAF donor enthusiasm while developing new relationships through ImpactAssets, Fidelity Charitable and comparable donor/advisor ecosystems. Platform access alone is not the strategy: personal introductions, donor-centered cultivation and trusted networks are essential. The campaign will connect to the Economic Mobility Council—convened by Founders First—and to regional Capital Activation Experience (CAE) gatherings. Women Who Fund America (WWFA) provides a storytelling and relationship-building platform to engage aligned capital allocators. Who should pursue this engagement We especially welcome an established independent fundraising professional or senior boutique-firm principal who is already leading active fundraising initiatives and has room to add this complementary assignment. The right advisor brings a current, relevant network and can begin generating meaningful introductions immediately; this is not intended as a full-time position or a ground-up prospecting assignment. Core mandate: generate qualified donor conversations The advisor’s most important contribution is consistent access to philanthropists who are excited to see direct, measurable outcomes—particularly in the geographic regions and among the veteran-, women-, and other underinvested business-owner communities they prioritize. · Originate, secure and help complete 30–40 qualified donor/advisor appointments during the six-month engagement, with a strong emphasis on $50,000+ DAF potential and $100,000+ leadership opportunities. · Activate existing DAF relationships, identify renewal and upgrade opportunities, and secure warm introductions to new donor families, advisors and funders. · Connect donor motivations to specific FFCDC programs, regional economic mobility priorities and measurable outcomes; prepare tailored donor briefs and clear asks. · Build a disciplined moves-management pipeline from introduction to discovery, proposal, commitment and receipt; document relationship ownership and next actions. · Partner directly with the founder/board chair and FFCDC leadership on anchor-donor meetings, follow-up and closing strategies. · Recruit and cultivate prospective Economic Mobility Council founding and regional participants; integrate appropriate donor meetings with CAE gatherings and WWFA convenings. · Explore donor-education and referral opportunities through ImpactAssets, Fidelity and philanthropic-advisor communities without assuming platforms will directly market FFCDC. What counts as a qualified appointment A completed, substantive conversation with a named donor, donor decision-maker or trusted advisor who has (1) a credible ability to influence or recommend a meaningful DAF grant, (2) demonstrated interest in economic mobility, entrepreneurship, quality jobs or a relevant region/population, (3) a warm or permission-based introduction path, and (4) a documented next action and expected giving horizon. Introductory networking calls without these attributes will be tracked separately. Experience and relationships required · Demonstrated personal role in originating and closing $1 million or more in cumulative DAF-supported gifts, including individual gifts of $100,000 or more. · Active relationships with DAF donors, family offices, RIAs, wealth managers, philanthropic advisors and/or community foundations; relevant ImpactAssets experience strongly valued. · Ability to describe specific prior fundraising outcomes and credible access paths while respecting donor privacy and confidentiality. · Experience with capital campaigns, major-gift proposals, cultivation, solicitation and timely moves management. · Comfort translating impact measurement and place-based priorities into persuasive donor conversations. · Capacity to integrate this project with an existing fundraising consulting portfolio, coordinate across leadership and travel selectively for high-value convenings. Engagement structure Six-month independent consulting engagement, approximately 20 hours per week. Target allocation: 30% strategy, donor positioning and coordination; 70% external business development, appointments, solicitation support and execution. Remote, with a preference for New York City, Washington, DC or Chicago. Proposed fixed consulting fee: $75,000 total ($12,500 per month), with reasonable pre-approved travel handled separately. No percentage-based fundraising compensation. Milestones and success measures This is an outcomes-oriented engagement. Goals below are planning targets, to be calibrated against the actual donor portfolio and campaign timing at kickoff. First 30 days Audit prior DAF giving; prioritize donors and advisors; launch appointment outreach; build a stage-based pipeline and region/donor-interest matching framework. By day 60 Complete initial donor discovery meetings; secure introductions from past DAF supporters; advance tailored opportunities and early leadership asks. By day 120 Target 20–25 completed qualified appointments; 10–15 leadership proposals/asks; $5M+ qualified pipeline; $750K–$1M in active solicitation or commitment stages. By month six Target 30–40 completed qualified appointments; meaningful donor/council activation; source and advance $1M+ in commitments toward the $2M DAF initiative. Performance dashboard Review biweekly: warm introductions requested/secured; appointments scheduled and completed; qualified donor opportunities by region, program interest, potential amount and stage; proposals and asks; commitments and dollars received; donor and advisor referral sources; Economic Mobility Council engagement; and next-step completion rates. How we will work together The advisor will lead relationship sourcing, qualification, meeting preparation, follow-up and pipeline accountability. The FFCDC founder/board chair will participate in priority leadership conversations and major asks. The internal team will support program evidence, scheduling, stewardship, proposal materials and gift administration. Any investment-related discussion involving the affiliated for-profit entity will be handled separately from FFCDC charitable solicitations and with appropriate compliance review. How to express interest Please submit a concise qualifications statement or letter that includes: examples of DAF gifts of $100,000+ you helped originate and close; relevant donor/advisor networks and how you would activate them; current consulting portfolio and capacity; and your proposed approach to generating qualified appointments within the first 60 days. Send to: FFCDC welcomes experienced independent consultants and senior principals of boutique philanthropic advisory firms. Selection will consider demonstrated access, execution capability, mission alignment and fit with this fractional engagement.

About Cymphony Cymphony is a well-funded cybersecurity startup backed by Sequoia and Fin Capital, building a new category: workforce security. Once companies connect AI to tools like SharePoint, Box and the CRM, years of oversharing become real exposure. Cymphony maps every person and AI agent to the data and access behind them, shows which risks matter, and makes fixing them simple. The result is a clear green light to roll out AI safely. Global enterprises including KKR, Syngenta and Cass rely on Cymphony to adopt AI safely. About the role We are hiring our first Talent Acquisition & Operations Lead to help build the team, and the company around it, in New York. This is a role for someone with a few years of tech recruiting under their belt who is ready to own the function, not just support it. You will work directly with our leadership, and you will grow as fast as the company does. What you’ll do Talent Acquisition (~70%) • Own the full recruiting cycle, from intake and sourcing to offer and close, • Partner with founders and hiring managers to define roles, scorecards and interview loops, • Source proactively and build pipelines for hard-to-fill roles, not just post and wait, • Manage relationships with external recruiters and agencies, and know when to use them, • Run a candidate experience that reflects how we want to be seen in the market, • Set up and own our recruiting tools, process and reporting, • Build onboarding so new hires are productive from week one Operations (~30%) • Run our SoHo office: vendors, supplies, facilities, and making it a place people want to show up to, • Support the GTM team with logistics for events, customer meetings, offsites and travel, • Own internal processes that keep a fast-growing team organized, • Pick up whatever falls between the cracks, and then make sure it stops falling there What we’re looking for • 3-5 years of recruiting experience, in-house or agency, with startup experience a strong plus, • Experience running hiring processes end to end, or a clear readiness to take that on, • Hands-on sourcing experience and comfort reaching out to candidates cold, • Some exposure to office management, vendor management or business operations, • Highly organized, able to juggle many open loops without dropping any, • Comfortable operating in ambiguity with very little structure, • High ownership mentality and a bias to action, • Strong communicator who builds trust quickly with candidates and teammates, • Hungry to learn and grow into a senior talent role, • Interest in cybersecurity or B2B SaaS is a big advantage, • Experience working with cross-border teams across the US and Israel is a plus Why join • First TA and ops hire in the US, with a clear path to grow into leading the talent function, • Direct mentorship and partnership with leadership, • High ownership and autonomy from day one, • A team that works hard, moves fast, and actually enjoys doing it together, in person, • Compensation range: $90,000 - $135,000 base + equity

Overview Whistler Partners is partnering with a highly distinctive corporate platform looking to add a senior associate or counsel-level attorney to a practice that sits at the intersection of emerging companies, venture capital, media, and entertainment. The work is intentionally broad and highly relationship-driven, with a mix of startup and growth-company matters alongside unique media and entertainment clients. The team is looking for someone smart, adaptable, high-EQ, and genuinely interested in becoming more of a generalist within a sophisticated and unusual practice mix. This is not a conventional lane. It is a strong fit for someone who wants to step out of a narrow corporate track and build something more varied, entrepreneurial, and client-facing. Why this role? This is a rare opportunity for a senior associate or counsel who wants to do work that does not fit neatly into one box. The practice combines ECVC, startup counseling, media, entertainment, and broader corporate advisory work, giving the right person exposure to a client base and skill set that would be hard to replicate in a traditional practice group. The team is open on background, but not on judgment, EQ, or attitude. The right candidate will be highly capable, comfortable learning on the job, and excited by the idea of being trained into something unique. For a senior candidate, there is a real long-term runway here, including a potential partnership path within roughly three years for the right person. Key Responsibilities • Advise emerging companies, founders, growth-stage businesses, and media/entertainment clients on a broad range of corporate matters., • Support venture, startup, and growth-company work across the company lifecycle., • Work closely with senior attorneys on sophisticated, client-facing matters., • Develop into a broader generalist across ECVC, media, entertainment, and strategic corporate advisory work., • Build trusted relationships with entrepreneurial clients operating in fast-moving industries. Top Requirements • Senior associate or counsel-level corporate attorney., • Strong academic and professional credentials., • High EQ, strong judgment, and comfort working directly with clients., • Interest in a broader generalist practice rather than a narrow corporate lane., • Ability to learn quickly and operate in entrepreneurial, creative, and high-touch client environments., • Genuine interest in emerging companies, media, entertainment, and growth-company work., • Partnership-oriented mindset and desire for a long-term platform. TL;DR Elite ECVC and media platform hiring a senior corporate associate or counsel for a broad, unusual, highly client-facing practice. Open on background, but looking for someone smart, high-EQ, adaptable, and excited to learn something different. Real long-term runway, including potential partnership path for the right person. About Whistler Partners Matchmakers, Not Headhunters Whistler Partners is a boutique matchmaking firm focused on counseling the best and the brightest attorneys over the course of their careers. We believe that the right move comes from working closely with talent to curate their long-term career paths. When it comes to career advice, what matters is not the size of the agency but the strength of your individual recruiter. We readily admit that we are elite and only work with the best – after all, a little elitism is okay when it comes to your career. Employers love us because we are picky about whom we represent, and attorneys love us because we get them their dream jobs.

Contract Attorney – Restructuring and Liability Management Location: New York City, New York Employment Type: Contract Practice Areas: Restructuring, Bankruptcy, Liability Management, Capital Markets, and M&A Position Overview Our client is seeking an experienced transactional attorney to support its Capital Structure Advisory and Fixed Income team on complex restructuring, bankruptcy, liability management, and capital markets matters. This contract attorney will work on sophisticated transactions involving distressed companies, capital structure solutions, securities offerings, financing arrangements, and strategic transactions. The ideal candidate will have experience at a national law firm or comparable legal practice and be comfortable managing multiple complex matters in a fast-paced, deadline-driven environment. This position requires excellent drafting and negotiation skills, strong legal judgment, attention to detail, and the ability to provide practical advice on legal, regulatory, and reputational considerations. Key Responsibilities • Draft, review, and negotiate engagement letters, offering documents, tender documents, transaction agreements, and related legal materials., • Support restructuring, bankruptcy, liability management, capital markets, financing, securities, and M&A transactions., • Assist with Chapter 11 matters, including:, • Retention applications, • Reorganization plans, • Debtor-in-possession financing orders, • Bidding procedures, • Asset purchase agreements, • Related court filings and transaction documents, • Conduct legal research and provide analysis on complex securities, financing, restructuring, and corporate law matters., • Evaluate legal, regulatory, transactional, and reputational risks and communicate findings to senior attorneys and business stakeholders., • Review transaction structures, supporting documentation, disclosure materials, and proposed agreements for accuracy, completeness, and compliance., • Coordinate with internal teams, outside counsel, clients, financial advisors, and other transaction participants., • Track deliverables, deadlines, approvals, and closing requirements across multiple concurrent matters., • Assist with negotiations and help develop practical solutions to complex legal and business issues., • Maintain high standards for confidentiality, professionalism, accuracy, and responsiveness. Required Qualifications • Juris Doctor degree from an accredited law school., • Active bar admission in at least one U.S. jurisdiction., • Significant experience in transactional law, restructuring, bankruptcy, liability management, or related practice areas., • Strong understanding of capital markets, securities, financing, restructuring, and corporate transactions., • Exceptional legal drafting, contract review, and negotiation skills., • Ability to conduct detailed legal research and translate complex issues into clear, practical guidance., • Strong written and verbal communication skills., • Excellent judgment, organization, prioritization, and attention to detail., • Ability to work independently while collaborating effectively with attorneys, clients, and cross-functional teams. Preferred Qualifications • Ten or more years of relevant legal experience., • Experience working at a national law firm, leading financial institution, investment bank, advisory firm, or comparable legal environment., • Direct experience supporting Chapter 11 proceedings and distressed company transactions., • Familiarity with retention applications, DIP financing, bidding procedures, plans of reorganization, asset purchase agreements, tender offers, and liability management transactions., • Experience drafting and negotiating engagement letters, offering documents, transaction agreements, and other sophisticated legal documentation., • Experience advising clients or business teams on legal, regulatory, and reputational risk., • Ability to manage high-priority matters under tight deadlines and changing business conditions. Core Competencies • Restructuring and bankruptcy law, • Liability management, • Capital structure advisory, • Capital markets and securities, • M&A and financing transactions, • Contract drafting and negotiation, • Legal research and analysis, • Risk assessment and legal judgment, • Stakeholder communication, • Project and deadline management, • Confidentiality and professionalism Opportunity Highlights This is an opportunity to support sophisticated, high-impact transactions within a Capital Structure Advisory and Fixed Income practice. The successful candidate will work on complex matters at the intersection of restructuring, bankruptcy, liability management, financing, securities, and strategic transactions while partnering with experienced legal and financial professionals in New York City. Pay Range: $135 - $175/HR for NYC candidates with 10 plus years of relevant experience The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.

About Us Brookfield Renewable, as one of the core businesses under Brookfield Corporation, is one of the world’s largest owners, operators, and developers of renewable power, with $125 billion power assets under management. Our diverse portfolio of hydro, wind, solar, distributed energy, storage, and sustainable solutions extends across five continents, totaling over 46,000 megawatts of generating capacity. We use our operating capabilities, scale and global reach to develop and operate a high-quality clean energy portfolio in a responsible manner, helping accelerate the global transition to net zero. Come Join Us At Brookfield Renewable, we attract and retain high-performing individuals who are interested in making an impact, driving meaningful change and being part of a fast-paced and collaborative environment. Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. Together, we contribute to the success of one of the fastest growing and largest publicly traded, pure play renewable power platforms in the world while supporting decarbonization and greater energy sustainability to facilitate the global transition to a net-zero. About the Role Reporting to the Vice President, Finance, the Director, Finance will serve as the senior finance owner for an assigned portfolio of U.S. renewable power and transition businesses. The Director will develop deep expertise in the companies they cover and provide end-to-end finance leadership across reporting, forecasting, valuation, business planning, liquidity, integration, and strategic initiatives. This is a highly visible, hands-on role that partners closely with Asset Management, Investment, and portfolio company leadership and provides the opportunity to influence both day-to-day performance and longer-term value creation. Key Responsibilities • Own the finance mandate for a defined group of portfolio companies, developing deep knowledge of each business, operating drivers, capital structure, financial risks, and value-creation priorities, • Serve as the primary AM Finance partner to portfolio company CFOs, assigned asset managers, and key Brookfield stakeholders, providing continuity, accountability, and clear escalation of issues, • Lead quarterly and annual AM Finance reporting, monthly forecast reviews, and annual business planning for assigned companies, including review and challenge of results, KPIs, operating assumptions, capital requirements, distributions, and value-creation initiatives, • Prepare executive-ready summaries and presentations and coordinate with tax, corporate FP&A, accounting, and other functional teams on reporting and business plan requirements., • Lead the quarterly fund valuations process, including DCF models, IRR analysis, sensitivities, valuation bridges, supporting documentation, and review of assumptions with management, Asset Management, and/or Investments, • Lead liquidity reporting and forecasting, including equity requirements, distributions, working capital, and other cash needs, and coordinate fund credit support such as bridge loans, guarantees, and letters of credit, • Lead finance integration for newly acquired assets and help establish or enhance portfolio company finance functions, including reporting, forecasting, models, controls, and governance, • Partner with Investments and Asset Management on strategic initiatives and transactions, • Contribute to a high-performance culture focused on accountability, analytical rigor, continuous improvement, and practical problem solving Knowledge and Experience Required • 8+ years of progressive finance experience within asset management, renewable power, infrastructure, private equity, corporate finance, FP&A, valuation, or a related field, • Undergraduate or graduate degree in Business, Finance, Accounting, Economics, or a related discipline, • Demonstrated experience owning reporting, forecasting, business planning, valuation, and complex financial analyses across multiple businesses or operating assets, • Advanced financial modeling skills, including DCF valuation, IRR analysis, sensitivities, and the ability to review and improve complex models, • Strong knowledge of IFRS and/or U.S. GAAP is preferred but not required, • Experience with liquidity forecasting, capital planning, credit support, transaction execution, or new investment integration is highly desirable, • Prior experience in power, utilities, infrastructure, renewable energy, or transition-related businesses is strongly preferred, • Proven senior-stakeholder communication, business judgment, organization, and people leadership skills, with the ability to operate independently and build trusted relationships across teams Note: Offices continue to be central to collaboration and Brookfield’s identity. This position requires the employee to be on-site to perform most effectively. Salary: $160,000-$185,000, bonus eligible Working Here, You Will Enjoy At Brookfield, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. • We work to recognize you in meaningful, personalized ways including a competitive salary, bonus structure, a health benefits program, and 401(k) plan., • Our spaces are open, dynamic, and collaborative, giving you access to different businesses and teams., • We cultivate a culture where we invest in your growth and development. Diversity & Inclusion Brookfield Renewable embraces and promotes the principles of diversity, equity, and inclusion. We welcome and encourage applications from all qualified candidates, including women, Indigenous peoples and other persons of all races, ethnic origins, religions, abilities, sexual orientations, and gender identities and expressions. We also provide accommodation during all parts of the hiring process, upon request. If contacted to proceed to the recruitment process, please advise us if you require any accommodation.

Director, Finance - Data Center Development Metric DCX have partnered with one of the most exciting data center developers in the world, with a global development pipeline, and the capital backing that will allow them to execute. They are looking for a Finance Director to be based out of their New York office. This position will be critical in enabling the growth and progress of some of the largest data center campuses in the world. Day to day, you'll be supporting the Vice President of Investments, working to deliver on project finance, structuring M&A deals, structuring hedging strategy etc. The role has a global scope with a primary focus on the US business and acts as the key Finance partner to US Delivery, Operations and Commercial teams. You will need to have operated in a similar position previously, specifically coming from the data center world ideally, but if not, broader digital infrastructure, or even P3 infrastructure. Alternatively, you could be coming directly from an investment bank, if the aforementioned industries were your focus. The opportunity to grow with this business, both personally and professionally, is exceptional. I need someone with an exceptional breadth of expertise, willing to strategize and challenge senior leaders where necessary, alongside a willingness to be hands on and 'do the work' within an organization that is still growing. If you'd like to discuss in more detail, please apply, or reach out directly; george.bacon@metric-search.com