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Clean Harbors in South Plainfield and Bridgeport, NJ is seeking a Class A CDL Driver to operate a variety of heavy and light duty trucks/work equipment at our customer sites; some of the vehicles operated include vacuum trucks, Cuscos, guzzlers, and roll offs. This role is responsible for performing driving and non-driving duties on and off customer sites associated with hazardous waste clean-up. 90-95% TravelOn Call / Emergency ResponsePay range - $27.00 - $28.00 hourly*Note this position requires new hires to attend our two-week Academy (paid) training; it could be out of state. Your expenses are covered by the company Clean Harbors is the leading provider of environmental, energy and industrial services throughout the United States, Canada, Mexico and Puerto Rico. Everywhere industry meets environment, Clean Harbors is on-site, providing premier environmental, energy and industrial services. We are solving tough problems through innovation and proven methodology – come be part of the solution with us. Why work for Clean Harbors? • Health and Safety is our #1 priority and we live it 3-6-5!, • Focus on maintaining sustainability and cleaning the Earth, • Recruiting Pay range - $27-28+ hourly or more depending on experience, • Comprehensive health benefits coverage after 30 days of full-time employment including 401K with Company match, • Own part of the company with our Employee Stock Purchase Plan, • Opportunities for growth and development for all the stages of your career, • Company paid training and tuition reimbursement RESPONSIBILITIES • Ensure Health and Safety is the number one priority by complying with all safe work practices, policies, and processes and always acting in a safe manner, • Operate commercial trucks and assist field laborers when needed (team atmosphere where everyone helps), • Operate a variety of Class A trucks, • Loading and unloading of trucks, • Manual labor on site to ensure fulfillment of customer needs, • Proper placarding of vehicles to meet Company and DOT requirements/regulations, • Maintain daily logs, time sheets, and various reports, • Follow all local, state (provincial) and federal compliance regulations and rules, • Safely operate vehicles in accordance with U.S. DOT, local, state (provincial) and federal requirements, • Safely observe all corporate operating guidelines and procedures, • Observe all company environmental health and safety operating guidelines, • Performs other duties as assigned, • By position, ability to be on call for emergency response on rotating basis every other week, • By position, site-remediation, equipment decontamination, and the handling of hazardous materials QUALIFICATIONS • Valid Class A CDL, • Ability to operate a manual transmission, • Hazmat and Tanker endorsement, • Ability to use various mobile devices, • Perform physical functions per job requirements, • Successfully complete a background check, drug test, and physical, by position, • Per OSHA's Respiratory Protection Standard, 29 CFR 1910.34, employees in positions requiring respirators are required to meet facial hair standards.Preferred Qualifications:, • Commercial driver experience, • Hazmat and Tanker endorsement, • Previous Hazmat experience Previous manual labor experience Clean Harbors is an equal opportunity employer. Clean Harbors is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact ect@cleanharbors.com or 1-844-922-5547. Clean Harbors is a Military & Veteran friendly company. Please be advised that Artificial Intelligence (AI) tools may be used to support certain stages of the recruitment process but are not used as a replacement for human decision making. Clean Harbors is committed to complying with applicable pay transparency laws and ensuring fair and equitable compensation. The posted salary range reflects the minimum and maximum target for this role. Final compensation may vary based on factors such as location, experience, skills, and business needs. In addition to the base salary, some roles may be eligible for bonus or incentive compensation and a comprehensive benefits package. *CH

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 World Class Medicine. Purpose-Driven Partnership. Veritas Veterinary Partners offer exciting career opportunities in state-of-the-art facilities across the U.S. Our hospitals are staffed by board-certified specialists, create a collaborative environment where you can work alongside like-minded, caring professionals. If you're passionate about veterinary medicine, this is your chance to thrive in a dynamic, high-quality setting. At Veritas Veterinary Partners, our mission is to build a network of trust and opportunity for veterinary professionals nationwide. We specialize in supporting Specialty and Emergency care hospitals, aligning with your unique goals and medical standards. Veritas, founded by Thomas Scavelli, DVM, DACVS, is dedicated to recruiting top-tier talent and fostering collaboration within our community. With a focus on exceptional care, we bring together highly trained veterinarians, technicians, and teammates committed to our patients' well-being. We believe in Truth in Medicine and Trust in Partnerships, ensuring we always provide the highest standard of care. Come join us and make a meaningful impact on the community you serve. Garden State Veterinary Specialists would like to add a full time board-certified, or residency trained, Veterinary Radiologist to our well established, rapidly growing 24-hour emergency and specialty hospital! Garden State Veterinary Specialists is a centrally located New Jersey ER/Specialty practice that is in a prime location with access to the beach, the Poconos and Catskill mountains, as well as the vibrant cities of Philadelphia and New York. Our brand new, state of the art, 55,000 sg-ft facility in Eatontown has been thoughtfully designed and includes 25 exam rooms, 6 surgical suites, CT, MRI, lineal accelerator, ICU with a 35-patient capacity, dialysis, and a lecture hall that can host 60 seats! Our hospital culture is collaborative and fun, evidenced by our high retention of doctors and staff. How you will make a difference: You will join Garden State Veterinary Specialists, giving you the opportunity to work alongside, collaborate, and support all specialists in: Surgery, Internal Medicine, Critical Care, Neurology, Cardiology, Ophthalmology, Dentistry, Medical and Radiation Oncology, Dermatology, Sports Rehab, and Emergency. With the support of the medical director, it will be an honor to have you be an integral part of our family, creating a department that will both support our mission as well as permit limitless, professional growth. What you will bring: As a Radiologist here at GSVS, you will perform ultrasounds and interpret radiographs for all departments and patients at GSVS. You will also be responsible for interpreting all CT and MRI performed on our brand-new, cutting-edge technology. In addition, you will support staff and intern doctors, provide counsel to the other specialists, and collaborate with the referring community. Schedule: Full time position with proposed Monday- Thursday schedule Benefits and Compensation: • Highly competitive salary, • Sign on and Relocation Bonus, • Generous PTO, • Paid Parental Leave, • Medical, vision, and dental plans with HSA option- some plans paid 100%, • Mental health support with Talkspace, • Continuing education support with CE allowance and PTO, • Reimbursement of membership and licensure fees, • 401k retirement plan options with company match, • Basic life insurance provided and other voluntary insurance options available for full-time team members Garden State Veterinary Specialists is located at 246 Industrial Way, Eatontown, NJ 07724 Veritas Veterinary Partners is an equal opportunity employer. In accordance with the requirements of all applicable federal, state and local laws, we welcome and encourage diversity in the workplace regardless of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status or any other legally protected status. Applicants must be authorized to work in the U.S. All current positions require the ability to speak, read, and write English proficiently. Additional fluency in other languages is preferred but not required. For CA applicants please visit our Privacy Policy

Job Description World Class Medicine. Purpose-Driven Partnership. Veritas Veterinary Partners offer exciting career opportunities in state-of-the-art facilities across the U.S. Our hospitals are staffed by board-certified specialists, create a collaborative environment where you can work alongside like-minded, caring professionals. If you're passionate about veterinary medicine, this is your chance to thrive in a dynamic, high-quality setting. At Veritas Veterinary Partners, our mission is to build a network of trust and opportunity for veterinary professionals nationwide. We specialize in supporting Specialty and Emergency care hospitals, aligning with your unique goals and medical standards. Veritas, founded by Thomas Scavelli, DVM, DACVS, is dedicated to recruiting top-tier talent and fostering collaboration within our community. With a focus on exceptional care, we bring together highly trained veterinarians, technicians, and teammates committed to our patients' well-being. We believe in Truth in Medicine and Trust in Partnerships, ensuring we always provide the highest standard of care. Come join us and make a meaningful impact on the community you serve. Garden State Veterinary Services would like to add a full time board-certified, or residency trained Veterinary Criticalist to our well established, rapidly growing 24-hour emergency and specialty hospital! Who We Are GSVS Woodbridge is part of a network of three 24-hour emergency and referral hospitals, including Garden State Veterinary Specialists (GSVS) in Eatontown, NJ, and Greater Staten Island Veterinary Specialists (GSIVS) in Staten Island, NY. Care is closely coordinated across all locations, giving our patients seamless access to a broader team of specialists and resources. We honor the special bond between you and your veterinarian and are committed to making the referral experience one of personal service in a caring and nurturing environment. Garden State Veterinary Services is a centrally located New Jersey ER/specialty practice in a prime location with access to the beach, the Poconos and Catskill mountains, as well as the vibrant cities of Philadelphia and New York. Our brand-new, state-of-the-art, 30,000 sq-ft facility in Woodbridge, NJ has been thoughtfully designed and houses brand-new, state-of-the-art CT, MRI, and fluoroscopy equipment. Our hospital culture is collaborative and fun, evidenced by our high retention of doctors and staff. Our Legacy Dr. Scavelli established our partner hospital, Garden State Veterinary Specialists, in 1994 with a revolutionary concept: a referral-only specialty practice where veterinary specialists collaborate as a unified team. This model — unique at the time — was designed to provide referred patients with comprehensive care, expert consultations across multiple disciplines, and access to state-of-the-art diagnostic equipment. That same philosophy continues to guide every hospital in our network today, including GSVS Woodbridge. Our emergency doctors, board-certified specialists, and clinical teams combine elite training with hands-on experience to deliver precision, compassion, and life-saving care to pets in Woodbridge and beyond. How You Will Make a Difference As an additional Criticalist at Garden State Veterinary Services, you will have the opportunity to work alongside, collaborate with, and support our other specialists in Surgery, Internal Medicine, Neurology, Ophthalmology, Cardiology, Oncology, and Emergency. Our clients and patients will also have streamlined, transferable access to Medical and Radiation Oncology, Dentistry, and Rehab at our sister practice, Garden State Veterinary Specialists, in Eatontown, less than 30 minutes away! With the support of the medical director, it will be an honor to have you be an integral part of our family, helping build a department that supports our mission while offering you limitless professional growth. What You Will Bring As a Criticalist at Garden State Veterinary Services, you will bring your advanced education and experience to provide life-changing treatment to the patients of our community. You will also bring a deep passion for mentoring support staff and intern doctors, while providing counsel to the other specialists and collaborating with the referring community. You will be committed to the highest level of medical care and be a champion of client service. Schedule • Sunday – Wednesday Benefits and Compensation • Highly competitive salary, • Sign-on and relocation bonus, • Generous PTO, • Paid parental leave, • Medical, vision, and dental plans with HSA option – some plans paid 100%, • Mental health support with Talkspace, • Continuing education support with CE allowance and PTO, • Reimbursement of membership and licensure fees, • 401(k) retirement plan options with company match, • Basic life insurance provided, plus other voluntary insurance options for full-time team members Life in Woodbridge, NJ A relaxed, community feel with major cities and the Jersey Shore just a short trip away: • NYC: ~30–40 min drive, or direct train from Metropark Station, • Philadelphia: ~1.5 hours by car or direct Amtrak, • Jersey Shore beaches: ~30–45 minutes away, • Easy highway access via the NJ Turnpike and Garden State Parkway, • Shopping, parks, and dining nearby (Woodbridge Center Mall, Merrill Park), • Lower cost of living than NYC, with all its perks close by Garden State Veterinary Services is located at 1200 Route 9, Woodbridge, NJ 07095. Veritas Veterinary Partners is an equal opportunity employer. In accordance with the requirements of all applicable federal, state and local laws, we welcome and encourage diversity in the workplace regardless of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status or any other legally protected status. Applicants must be authorized to work in the U.S. All current positions require the ability to speak, read, and write English proficiently. Additional fluency in other languages is preferred but not required. For CA applicants please visit our Privacy Policy

Job Description World Class Medicine. Purpose-Driven Partnership. Veritas Veterinary Partners offer exciting career opportunities in state-of-the-art facilities across the U.S. Our hospitals are staffed by board-certified specialists, create a collaborative environment where you can work alongside like-minded, caring professionals. If you're passionate about veterinary medicine, this is your chance to thrive in a dynamic, high-quality setting. At Veritas Veterinary Partners, our mission is to build a network of trust and opportunity for veterinary professionals nationwide. We specialize in supporting Specialty and Emergency care hospitals, aligning with your unique goals and medical standards. Veritas, founded by Thomas Scavelli, DVM, DACVS, is dedicated to recruiting top-tier talent and fostering collaboration within our community. With a focus on exceptional care, we bring together highly trained veterinarians, technicians, and teammates committed to our patients' well-being. We believe in Truth in Medicine and Trust in Partnerships, ensuring we always provide the highest standard of care. Come join us and make a meaningful impact on the community you serve. Veritas Veterinary Partners is looking for an Emergency Veterinarian to join our team at our partner hospital, GSVS Veterinary Emergency Services Toms River, located in Toms River, New Jersey. This is the perfect opportunity for those who currently work in General Practice but are drawn to managing more emergent cases. This will be a walk-in, outpatient clinic operating on a 24-hour, 7-day-a-week schedule. How you will make a difference: At GSVS Veterinary Emergency Services Toms River you will have the opportunity to provide top-quality medical care to patients presenting with non-life-threatening illnesses and injuries. For those that do require immediate life-threatening care, you will have direct and immediate access to our boarded specialists at Garden State Veterinary Specialists in Eatontown, permitting a smooth and safe transfer of your patients. With the support of the medical director, and your colleagues, it would be an honor to have you be an integral part of this new hospital. With you on board, you would help support our mission as well as permit limitless professional growth. Schedule: • Full time- 12 shifts per month, • Includes weekdays, weekends, and a mix of days, swings, and overnights- preferred overnights, • Flexibility and variation are priorities, as your quality of life is our top concern Benefits and Compensation: • Salary is highly competitive, • Sign-on bonus, • Health, dental, and vision insurance, with HSA option- some plans paid 100%, • HSA, • Parental leave, • 401K with company match, • Life insurance, • Generous CE and PTO, • Reimbursement of all licensure fees, • Mental health support with Talk space GSVS Veterinary Emergency Services Tom's River is located at 1882 Hooper Ave, Toms River, NJ, 08753 #DVM To learn more about this opportunity or apply, please reach out to Kaitlin Dickinson at kaitlin.dickinson@veritasvetpartners.com. Veritas Veterinary Partners is an equal opportunity employer. In accordance with the requirements of all applicable federal, state and local laws, we welcome and encourage diversity in the workplace regardless of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status or any other legally protected status. Applicants must be authorized to work in the U.S. All current positions require the ability to speak, read, and write English proficiently. Additional fluency in other languages is preferred but not required. For CA applicants please visit our Privacy Policy

\n NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, X and Instagram. \n Position Summary: \n We have an exciting opportunity to join our team as a Pathologists' Assistant - Woodhull. \n This position requires pathologists or experienced pathology assistants for collection of specimens in the OR. \n Job Responsibilities: \n \n • Strong communication skills for interacting and coordinating with the surgical staff to determine the exact time that specimens are excised, collect them quickly from the OR.\n, • Assist the Director and Managers in all aspects of optimizing core function.\n, • Assist in designing and testing protocols and procedures to expedite specimen and data collection.\n, • Coordination and multitasking required to acquire tissue in a short period of time (less than 30 minutes), and be able to work with the tissue banking staff to safely store specimens and link them to the appropriate information.\n, • Banking of tissue following decision process when possible.\n, • Perform diagnostic exam to quickly decide which parts of each specimen are NOT required for diagnosis in coordination with the attending pathologists.\n \n Minimum Qualifications: \n \n • Pathology training and experience in grossing a large variety of pathology specimens.\n, • Familiarity with tumor staging Working knowledge of evolving banking practices and regulation.\n, • Ability to review slides is desirable but not required.\n, • This position requires a licensed (NYS) Pathology Assistant; Anatomic Pathologists trained in foreign universities will be considered. Required Licenses: CliniclLabTechnolgst-NYSPermit\n \n Qualified candidates must be able to effectively communicate with all levels of the organization. \n NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. \n NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. \n View Know Your Rights: Workplace discrimination is illegal. \n NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $100,100.00 - $141,050.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. \n To view the Pay Transparency Notice, please click here \n\n

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).

This position works closely with commercial paint customers to determine their needs, answer their questions about Sherwin-Williams products, and recommend the right solutions. Branch Coordinators are also expected to promptly resolve any customer concerns and ensure maximum client satisfaction as well as stay up-to-date with product features and maintain the high quality and visual standards of the products and store. Job duties involve contact with customers, which may include minors; and access to cash and other payment methods, electronic equipment, personal information, store merchandise and other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company’s customers, staff, employees, vendors, contractors, and the general public. The individual selected for this role will be expected to work at Store #704313, located at: 185 Moonachie Rd, Moonachie, NJ 07074 At Sherwin-Williams, our purpose is to inspire and improve the world by coloring and protecting what matters. Our paints, coatings and innovative solutions make the places and spaces in our world brighter and stronger. Your skills, talent and passion make it possible to live this purpose, and for customers and our business to achieve great results. Sherwin-Williams is a place that takes its stability, growth and momentum and translates it to possibility for our people. Our people are behind the strength of our success, and we invest and support you in: Life … with rewards, benefits and the flexibility to enhance your health and well-being Career … with opportunities to learn, develop new skills and grow your contribution Connection … with an inclusive team and commitment to our own and broader communities It's all here for you... let's Create Your Possible What is the Process to get Started? Step 1 – Online Application Find the role(s) that interest you on our Careers page: _ Set aside 15 minutes to create your profile by entering or importing your details from one of our job board partners Step 2 – Digital Interview Upon review of your application, qualified candidates will be invited to complete a digital video interview via HireVue, our interview partner. The interview will consist of a few behavioral based questions You’ll be able to record and complete your video interview anytime, anywhere! While you can complete this video interview on your own schedule, we ask that this step be completed within 7 days of receiving an invitation Step 3 – In-Store Interview Your video interview is reviewed by a member of our Recruitment team and our top candidates are invited to meet with our team in a store, specialty wholesale branch, floorcovering facility or delivery service terminal. At Sherwin-Williams, part of our mission is to help our employees and their families live healthier, save smarter and feel better. This starts with a wide range of world-class benefits designed for you. From retirement to health care, from total well-being to your daily commute—it matters to us. A general description of benefits offered can be found at _. Click on “Candidates” to view benefit offerings that you may be eligible for if you are hired as a Sherwin-Williams employee. Compensation decisions are dependent on the facts and circumstances of each case and will impact where actual compensation may fall within the stated wage range. The wage range listed for this role takes into account the wide range of factors considered in making compensation decisions including skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. The wage range, other compensation, and benefits information listed is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable federal, state, and local laws including with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act where applicable. Sherwin-Williams is proud to be an Equal Employment Opportunity employer. All qualified candidates will receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information, creed, marital status or any other consideration prohibited by law or by contract. As a VEVRAA Federal Contractor, Sherwin-Williams requests state and local employment services delivery systems to provide priority referral of Protected Veterans. Please be aware, Sherwin-Williams recruiting team members will never request a candidate to provide a payment, ask for financial information, or sensitive personal information like national identification numbers, date of birth, or bank account numbers during the application process. • Ensure high levels of customer satisfaction through excellent sales service, • Assist customers in person and over the phone by determining needs and presenting appropriate products and services, • Build productive trust relationships with wholesale customers, • Process sales transactions accurately and consistent with policies and procedures, • Follow and achieve sales goals on a monthly, quarterly, and yearly basis, • Maintain precise work order files and formulas, • Pull appropriate products from the sales floor or warehouse, • Tint and mix products, as needed, to customer specifications, • Stock shelves and set up displays, • Clean store equipment, • Load/unload delivery trucks, • Assist in making deliveries, as needed, • Maintain in-stock and presentable condition assigned areas, • Remain knowledgeable on products offered and discuss available options, • Comply with inventory control procedures, • Suggest ways to improve sales Minimum Requirements:, • Must be at least eighteen (18) years of age, • Must be legally authorized to work in the country of employment without needing sponsorship for employment work visa status now or in the future, • Must be able, with or without reasonable accommodation, to retrieve material from shelves and floor stacks and lift and carry up to 50 lbs. frequently and up to 70 lbs. on occasion, • Must be willing to work all scheduled hours, which may include evenings and weekends, with or without reasonable accommodationPreferred Qualifications:, • Have a valid, unrestricted Driver’s License, • Have at least a High School diploma or GED, • Have at least one (1) year of experience working in a delivery, retail, or customer service position, • Have previous work experience selling paint and paint-related products, • Have previous work experience operating tinting and mixing equipment, • Ability to read, write, comprehend, and communicate in more than one language, • Ability to read, write, comprehend, and communicate in Spanish #SHWSales

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).

Job Description Location: Pace University • We are hiring immediately for full time CASHIER positions., • Address: 1 Pace Plaza, New York, NY 10038. Note: online applications accepted only., • Schedule: Full time schedule; Saturday through Wednesday; hours may vary. More details upon interview., • Requirement: Prior cashier experience is required., • Fixed Pay Rate: $22.50 per hour. We Make Applying Easy! Want to apply to this job via text messaging? Text JOB to 75000 and search requisition ID number 1571831. The advertised program is a conversational recruiting assistant that helps you apply to jobs with Compass Group. Message frequency varies. Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions: http://olivia.paradox.ai/moSkg Application Deadline: applications are accepted ongoing until all openings are filled for this position. If an applicant is declined due to the position being filled, they may still be considered for future opportunities and are always welcome to reapply. Join our campus team where you are valued and empowered to make a difference. Enjoy competitive wages, benefits, and perks like Instapay through the One @Work app. Our careers are filled with purpose and encourage learning, growth, and meaningful impact. Apply today! Job Summary Summary: Performs cashiering duties, including making cash transactions, verifying cash drawer, giving change, counting cash receipts and completing cash reports. May also perform general food service work. Maintains sanitation standards in the preparation, service and dining room facilities. Essential Duties and Responsibilities: • Performs sales transactions in a timely fashion., • Enters all sales into the cash register to ensure purchases are accurately recorded., • Makes change, accepts declining balance cards and other acceptable forms of payment; issues receipts to customers., • Follows standard procedures for issuing cash refunds., • Interacts with customers and resolves customer complaints in a friendly, service-oriented manner., • Responsible for all assigned change funds and cash receipts ensuring that cash drawer is in compliance with overage/shortage standards., • Observes customer purchases in the cafe line and differentiates between standard portions., • Replenishes condiments, coffee, other beverages and general supplies while maintaining cleanliness of service areas., • Keeps pastry case stocked., • Ensures compliance with company service standards and inventory and cash control procedures., • Ensures compliance with all sanitation, ServSafe and safety requirements., • Performs other duties as assigned. The Benefits We are always looking for ways to invest in our people both inside and outside of work to help them achieve their full potential. Both full-time and part-time associates are eligible for the following benefits: • Opportunities for Training and Development, • Retirement Plan, • Associate Shopping Program, • Health and Wellness Programs, • Discount Marketplace, • Identity Theft Protection, • Pet Insurance, • Voluntary Benefits, including Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Legal Services, and Choice Auto and Home Program In addition, full-time positions also offer the following benefits to associates: • Medical, • Dental, • Vision, • Life Insurance/AD, • Disability Insurance, • Commuter Benefits, • Employee Assistance Program, • Flexible Spending Accounts (FSAs) 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 Maryland, Washington State, 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/2023/08/2023WageTransparencyChartwellsHED.pdf Because this position requires you to perform services in an educational facility, there may be periods when the Company does not require you to perform work (such as winter and summer breaks when food service needs decline or cease). Any such periods during which you do not perform work on the Company’s behalf may be unpaid and deemed a temporary layoff. However, depending on business needs, you may be required to work year-round, potentially at a different location during break periods. Business needs may vary from year to year. Our Commitment to Diversity and Inclusion 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. Certain positions may require Florida Level 2 background screening. Details: https://info.flclearinghouse.com/ Applications are accepted on an ongoing basis. Chartwells Higher Ed maintains a drug-free workplace. 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.

Job Description • We are hiring immediately for full time and part time CASHIER positions., • Location: Cornell Tech - 2 West Loop Road, New York, NY 10044. Note: online applications accepted only., • Schedule: Full time and part time schedules. Monday through Friday; hours may vary. Some weekends required. Further details upon interview., • Requirement: Previous 2 years of cashiering experience required. *Internal Employee Referral Bonus Available • Pay Range: $19.00 per hour to $22.00 per hour. We Make Applying Easy! Want to apply to this job via text messaging? Text JOB to 75000 and search requisition ID number 1577121. The advertised program is a conversational recruiting assistant that helps you apply to jobs with Compass Group. Message frequency varies. Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions: http://olivia.paradox.ai/moSkg Diversity of thought and inclusion for all is what drives our success - we invite you to start your journey with us today! Founded in 1969, CulinArt manages more than 250 dining facilities for corporations, law and financial services firms, independent schools, colleges and universities, graduate schools, long-term care facilities and a variety of events & entertainment destinations across the country. Our mission is to be the industry leader in providing the highest quality dining service to our clients and guests while striving to provide maximum career opportunities for all of our team members. Our success lies in our ability not merely to adapt but to revitalize and transform our services continually, pioneering the cutting-edge and unconventional. CulinArt’s extremely diverse clientele, that includes many Fortune 500 businesses and esteemed educational institutions, affords great opportunities for career-advancing within the company across multiple industry segments and geographic regions. Job Summary Summary: Performs cashiering duties, including making cash transactions, verifying cash drawer, giving change, counting cash receipts and completing cash reports. May also perform general food service work. Maintains sanitation standards in the preparation, service and dining room facilities. Essential Duties and Responsibilities: • Performs sales transactions in a timely fashion., • Enters all sales into the cash register to ensure purchases are accurately recorded., • Makes change, accepts declining balance cards and other acceptable forms of payment; issues receipts to customers., • Follows standard procedures for issuing cash refunds., • Interacts with customers and resolves customer complaints in a friendly, service-oriented manner., • Responsible for all assigned change funds and cash receipts ensuring that cash drawer is in compliance with overage/shortage standards., • Observes customer purchases in the cafe line and differentiates between standard portions., • Replenishes condiments, coffee, other beverages and general supplies while maintaining cleanliness of service areas., • Keeps pastry case stocked., • Ensures compliance with company service standards and inventory and cash control procedures., • Ensures compliance with all sanitation, ServSafe and safety requirements., • Performs other duties as assigned. 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. Associates at CulinArt are offered many fantastic benefits. Both full-time and part-time positions offer the following benefits to associates: • Retirement Plan, • Associate Shopping Program, • Health and Wellness Programs, • Discount Marketplace, • Identity Theft Protection, • Pet Insurance, • Voluntary Benefits, including Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Legal Services, and Choice Auto and Home Program In addition, full-time positions also offer the following benefits to associates: • Medical, • Dental, • Vision, • Life Insurance/AD, • Disability Insurance, • Commuter Benefits, • Employee Assistance Program, • Flexible Spending Accounts (FSAs) 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/2023/08/2023WageTransparencyCulinart.pdf About Compass Group: Achieving leadership in the foodservice industry 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. Certain positions may require Florida Level 2 background screening. Details: https://info.flclearinghouse.com/ CulinArt maintains a drug-free workplace. Req ID:1577121 CulinArt Sector

Job Description • We are hiring immediately for full time CASHIER positions., • Location: Baldor - 155 Food Center Drive, Bronx, NY 10474. Note: online applications accepted only., • Schedule: Full time schedule. Monday through Friday, hours may vary. Further details upon interview., • Requirement: Previous cashiering experience required. *Internal Employee Referral Bonus Available • Pay Range: $17.00 per hour to $18.00 per hour. We Make Applying Easy! Want to apply to this job via text messaging? Text JOB to 75000 and search requisition ID number 1559918. The advertised program is a conversational recruiting assistant that helps you apply to jobs with Compass Group. Message frequency varies. Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions: http://olivia.paradox.ai/moSkg Diversity of thought and inclusion for all is what drives our success - we invite you to start your journey with us today! Founded in 1969, CulinArt manages more than 250 dining facilities for corporations, law and financial services firms, independent schools, colleges and universities, graduate schools, long-term care facilities and a variety of events & entertainment destinations across the country. Our mission is to be the industry leader in providing the highest quality dining service to our clients and guests while striving to provide maximum career opportunities for all of our team members. Our success lies in our ability not merely to adapt but to revitalize and transform our services continually, pioneering the cutting-edge and unconventional. CulinArt’s extremely diverse clientele, that includes many Fortune 500 businesses and esteemed educational institutions, affords great opportunities for career-advancing within the company across multiple industry segments and geographic regions. Job Summary Summary: Performs cashiering duties, including making cash transactions, verifying cash drawer, giving change, counting cash receipts and completing cash reports. May also perform general food service work. Maintains sanitation standards in the preparation, service and dining room facilities. Essential Duties and Responsibilities: • Performs sales transactions in a timely fashion., • Enters all sales into the cash register to ensure purchases are accurately recorded., • Makes change, accepts declining balance cards and other acceptable forms of payment; issues receipts to customers., • Follows standard procedures for issuing cash refunds., • Interacts with customers and resolves customer complaints in a friendly, service-oriented manner., • Responsible for all assigned change funds and cash receipts ensuring that cash drawer is in compliance with overage/shortage standards., • Observes customer purchases in the cafe line and differentiates between standard portions., • Replenishes condiments, coffee, other beverages and general supplies while maintaining cleanliness of service areas., • Keeps pastry case stocked., • Ensures compliance with company service standards and inventory and cash control procedures., • Ensures compliance with all sanitation, ServSafe and safety requirements., • Performs other duties as assigned. 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. Associates at CulinArt are offered many fantastic benefits. Both full-time and part-time positions offer the following benefits to associates: • Retirement Plan, • Associate Shopping Program, • Health and Wellness Programs, • Discount Marketplace, • Identity Theft Protection, • Pet Insurance, • Voluntary Benefits, including Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Legal Services, and Choice Auto and Home Program In addition, full-time positions also offer the following benefits to associates: • Medical, • Dental, • Vision, • Life Insurance/AD, • Disability Insurance, • Commuter Benefits, • Employee Assistance Program, • Flexible Spending Accounts (FSAs) 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/2023/08/2023WageTransparencyCulinart.pdf About Compass Group: Achieving leadership in the foodservice industry 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. Certain positions may require Florida Level 2 background screening. Details: https://info.flclearinghouse.com/ CulinArt maintains a drug-free workplace. Req ID:1559918 CulinArt Sector

Job Description • We have an opening for a full time CASHIER position., • Location: American Express - 200 Vesey Street, New York, NY 10285. Note: online applications accepted only., • Schedule: Full time; Monday through Friday, hours may vary. More details upon interview., • Requirement: Previous cashier and hospitality experience is preferred. Willing to train!, • Fixed Pay Rate: $19.50 per hour. We Make Applying Easy! Want to apply to this job via text messaging? Text JOB to 75000 and search requisition ID number 1581883. The advertised program is a conversational recruiting assistant that helps you apply to jobs with Compass Group. Message frequency varies. Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions: http://olivia.paradox.ai/moSkg This position is eligible for an Employee Referral Bonus! If you know someone that is qualified for this role, please use the ‘job search’ in PeopleHub to refer your referral and email them a link to apply. Your referral will be able to apply by clicking the link in the email. You can check the status through your profile, accessible via Careers in PeopleHub, by clicking on ‘referral tracking.’ For Employee Referral guidelines, FAQs and the Compass Employee Referral Policy, email MyReferral@compass-usa.com. Become part of Restaurant Associates, the industry’s leading provider of dining and event catering for some of the nation's most prestigious museums, performing arts centers and corporations! Voted Glassdoor's Employee Choice Awards- Best Places to work This is R/A ! Job Summary Summary: Performs cashiering duties, including making cash transactions, verifying cash drawer, giving change, counting cash receipts and completing cash reports. May also perform general food service work. Maintains sanitation standards in the preparation, service and dining room facilities. Essential Duties and Responsibilities: • Performs sales transactions in a timely fashion., • Enters all sales into the cash register to ensure purchases are accurately recorded., • Makes change, accepts declining balance cards and other acceptable forms of payment; issues receipts to customers., • Follows standard procedures for issuing cash refunds., • Interacts with customers and resolves customer complaints in a friendly, service-oriented manner., • Responsible for all assigned change funds and cash receipts ensuring that cash drawer is in compliance with overage/shortage standards., • Observes customer purchases in the cafe line and differentiates between standard portions., • Replenishes condiments, coffee, other beverages and general supplies while maintaining cleanliness of service areas., • Keeps pastry case stocked., • Ensures compliance with company service standards and inventory and cash control procedures., • Ensures compliance with all sanitation, ServSafe and safety requirements., • Performs other duties as assigned. Associates at Restaurant Associates are offered many fantastic benefits. Both full-time and part-time positions offer the following benefits to associates: • Retirement Plan, • Associate Shopping Program, • Health and Wellness Programs, • Discount Marketplace, • Identity Theft Protection, • Pet Insurance, • Voluntary Benefits, including Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Legal Services, and Choice Auto and Home Program In addition, full-time positions also offer the following benefits to associates: • Medical, • Dental, • Vision, • Life Insurance/AD, • Disability Insurance, • Commuter Benefits, • Employee Assistance Program, • Flexible Spending Accounts (FSAs) Abides by all Company policies and procedures including but not limited to: • The use of a medium weight cut gloves when handling or using knives, peelers, choppers, mandolins or cleaning a slicer., • The use of oven mitts, fryer gloves or steamer gloves when handling hot pans from ovens, warmers or steamtables., • The use of slip-resistant shoes and proper lifting techniques. 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/2023/08/2023WageTransparencyRA.pdf About Compass Group: Achieving leadership in the foodservice industry 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. Certain positions may require Florida Level 2 background screening. Details: https://info.flclearinghouse.com/ Applications are accepted on an ongoing basis. 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.

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).

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 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).

Job Description Who we are at Osmo: Osmo is a digital olfaction company, on a mission to give computers a sense of smell to improve the health and wellbeing of human life. Why? Our sense of smell both enriches and saves lives, and has a deep and direct connection to our emotions and memory. Olfactory Intelligence has applications across industries including fragrance, manufacturing, security, medicine, and more. We believe in the power of automation and thoughtfully applied AI/ML to solve problems beyond the reach of human intuition alone. We're headquartered in Elizabeth, NJ, with an additional office in Somerville, MA. We provide complimentary shuttle service from Brooklyn and Newark, NJ. About the Role Osmo is seeking a highly meticulous and olfactively acute individual to join our team as Contract Sensory Panelist (Fragrance). This is a specialized, part-time contract role dedicated exclusively to generating high-quality sensory data that fuels our Olfactory Intelligence models. It's work that rewards genuine curiosity about scent and the tenacity to stay sharp through long, repetitive evaluation sessions. You'll use your superior sense of smell to characterize the behavior, performance, and stability of fragrance compounds and formulas, directly contributing to the digitization of scent. We're looking for someone with a genuine passion for fragrance, a methodical approach to objective evaluation, and the kindness and patience to work well within a tight-knit panel team relying on each other for consistency. What You'll Do: Own Dedicated Olfactory Evaluation — Since smelling is an essential function of this role, spend a set number of hours per day actively smelling and evaluating fragrance samples in various formats. Generate Precise Sensory Data — Perform character and intensity annotations based on Osmo's internal scales and taxonomic lexicon. Track Stability and Performance — Evaluate the evolution of odor profiles over time, measuring fragrance integrity and performance in samples from stability chambers and application tests. Show Up as a Reliable Panelist — Rigorously follow established protocols and maintain the highest standards of objectivity and focus, panel after panel. Stay Calibrated With the Team — Participate in required training sessions to stay aligned with other panelists and consistent across data points, with the curiosity to keep learning Osmo's evolving taxonomy. Who You Are: Olfactively Proven — Must pass a sensory acuity screening. Focused and Disciplined — Sustained concentration through long, repetitive sensory tasks — tenacity is part of the job description here. Methodical and Objective — Separates personal preference from analytical sensory assessment. A Fast, Curious Learner — Quickly learns Osmo's internal scales and complex olfactive taxonomy. Reliable — Committed to scheduled hours. On-Site in Elizabeth, NJ — Available 6 hours a day, 5 days a week. Ways to Stand Out: A Genuine Passion for Scent — Deep-seated curiosity about fragrance or olfactory science. A Descriptive Vocabulary — Beyond simple hedonic (like/dislike) terms. A Scientific Foundation — Chemistry, biology, or psychology background or interest. What We Offer: Real Growth Path — Starts as a 90-day probationary period at 20 hours/week, with potential to grow to 30 hours/week and benefits eligibility. Hourly Rate — $30/hour for 4 hours of evaluation Consistent, predictable contract hours If this role inspires you we’d encourage you to apply. We are committed to recruiting, developing, and retaining an incredible team optimized for a diversity of thought, background, and approaches. For all Full-Time Employees, compensation is just one component of Osmo’s total rewards approach, which is designed to support the well-being, growth, and long-term success of our team members. Depending on the role, this may include base salary or contract-based pay, along with access to health, dental, and vision coverage; a 401(k) retirement savings plan with company match; flexible paid time off and company holidays; and equity or incentive compensation for eligible roles. Actual compensation will vary based on factors such as experience, skills, location, internal equity, and other relevant business considerations. Osmo regularly reviews pay ranges and compensation structures to ensure they remain competitive, equitable, and aligned with current market data. All employment decisions and responsibilities are determined based on current ability and your ability to grow, without regard to race, color, gender identity, sex, sexual orientation, religion, age, marital status, physical, mental, or sensory disability, or any other characteristic protected by applicable law. Recruitment & Staffing Agencies: Osmo does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Osmo or its employees is strictly prohibited unless contacted directly by the Osmo Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Osmo and Osmo will not owe any referral or other fees with respect thereto. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire

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).

Job Description Child Licensed Master Social Worker (LMSW) / Hybrid - Bronx, NY (#1676) • Medical, Dental, and Vision insurance, • Flexible Spending Account, • Paid Time Off, Retirement Savings, • Commuter Benefits program, • Visa Sponsorship opportunities Location: Bronx, New York Employment Type: Full-time or Part-time, Hybrid (on-site once weekly) Salary: $70,000 - $75,000 About Impact Recruiting Solutions: Impact Recruiting Solutions is a dedicated recruitment partner connecting healthcare professionals with rewarding opportunities. We collaborate with hospitals, clinics, and multi-specialty facilities to match skilled individuals with roles that align with their expertise and career aspirations. Position Overview We are seeking a Child Social Worker (LMSW) to provide mental health services to patients aged 6 and above in a multi-specialty practice in the Bronx, NY. This hybrid position offers flexible scheduling with only one on-site day required weekly. Bilingual candidates are required. Key Responsibilities • Provide psychosocial assessments and therapeutic services to children aged 6+, • Develop and implement individualized treatment plans, • Maintain active Medicaid provider status, • Collaborate with multidisciplinary team members, • Provide culturally competent care to diverse populations, • Maintain accurate clinical documentation and progress notes, • Conduct family sessions and provide support to caregivers Requirements • Education: Master of Social Work from an accredited program, • Licensure: Active New York State LMSW License, • Experience: Minimum 2 years of experience with children aged 6 and above, • Requirements: Must have an active Medicaid; Bilingual (mandatory), • Technical Skills: Child psychosocial assessments, evidence-based therapies, case management, • Soft Skills: Cultural competence, empathy, strong communication with children and families, collaborative approach Benefits • Competitive Compensation: $70,000 - $75,000, • Comprehensive Benefits:, • Medical, Dental, and Vision Insurance, • Flexible Spending Account, • Paid Time Off & Retirement Savings, • Commuter Benefits Program, • Malpractice Insurance Coverage, • Loan Repayment Assistance, • Visa Sponsorship Opportunities, • Exclusive 20% Tuition Discount at Local College, • Work Schedule: Full-time or Part-time, Hybrid (on-site once weekly), • Professional Growth: Collaborative multi-specialty environment, • Impactful Work: Make a meaningful difference in children's mental health

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).

Job Description Achievement Behavior Services is hiring caring, reliable, and energetic Behavior Technicians (BTs) and Registered Behavior Technicians (RBTs) to work individually with children and adolescents with autism throughout Queens. These are in-person, part-time opportunities in clients’ homes and community settings. Multiple afternoon, evening, and weekend schedules are available. Candidates may apply for the case that best fits their location and availability. Make a Meaningful Difference As an ABA Behavior Technician, you will work directly with one client while following an individualized treatment plan created by a Board Certified Behavior Analyst. Your sessions will focus on helping the client strengthen communication, social, behavioral, and daily living skills. You will receive ongoing guidance and supervision from a BCBA while gaining meaningful hands-on experience in the field of Applied Behavior Analysis. What Achievement Behavior Services Offers Competitive hourly pay based on education, experience, qualifications, and credentials Consistent part-time hours with the same client Afternoon, evening, and weekend schedules BCBA supervision, training, and clinical support Opportunities to pursue the Registered Behavior Technician credential Hands-on experience working with children and adolescents with autism A collaborative network of ABA professionals The opportunity to support a child and family within your community Position Responsibilities Provide individualized ABA services in the client’s home or community Follow treatment protocols and behavior intervention plans developed by the supervising BCBA Help clients work toward communication, social, behavioral, and independent-living goals Use positive reinforcement and appropriate behavioral redirection strategies Collect and record accurate session data Complete detailed session notes after each appointment Communicate respectfully with clients, caregivers, supervisors, and other team members Report client progress and behavioral changes to the supervising BCBA Request clinical guidance whenever additional support is needed Maintain punctual and dependable attendance for the agreed-upon weekly schedule Preferred Experience and Qualifications Experience working with children or adolescents Experience with autism, developmental disabilities, special education, or behavioral support Coursework or a degree in psychology, applied behavior analysis, education, special education, social work, or a related field Registered Behavior Technician certification is preferred but not required Strong interpersonal and communication skills A patient, compassionate, and person-centered approach Ability to follow written treatment plans and accept feedback Dependable transportation to the selected client’s location Ability to commit to a consistent weekly schedule Any additional qualifications or documentation required by New York State About Achievement Behavior Services Achievement Behavior Services has provided Applied Behavior Analysis services to children and families since 2015. Led by experienced BCBA and LCSW professionals, our agency connects children and adolescents with autism to individualized ABA services in their homes and communities. Our goal is to help every client develop practical skills that support greater communication, adaptability, resilience, and independence. Apply Today If you are interested in building valuable ABA experience while making a direct impact on a child and family, click Apply to connect with our recruiting team. Please include the location or ZIP code of the case that interests you and your current availability when applying. You may also call 516-229-1194, Ext. 217 for additional information.

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).

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).

Job Description About NPORT NPORT is a Joint Commission-certified healthcare staffing firm with over 30 years of experience in recruiting and placing top-tier talent. We have built a trusted reputation across New York for delivering dependable staffing solutions and exceptional service in healthcare and educational settings. NPORT Staffing is hiring a compassionate, reliable, and dedicated, Licensed Practical Nurses (LPNs) for opportunities at a Skilled Nursing Facility in the Hudson Valley, NY. If you are compassionate and dependable, LPN who makes pride in providing excellent resident care, we would love to hear from you. This is an excellent opportunity to join a professional healthcare team and make a meaningful difference in the lives of residents. Position Highlights • Location: Hudson Valley, NY, • Facility Type: Skilled Nursing Facility (SNF), • Position: Licensed Practical Nurse (LPN), • Schedule: Full-Time, Part-Time, & Per Diem Opportunities, • Employment Type: Available based on facility needs, • Competitive Pay: Based on experience and position, • Growth opportunities: Yes What You'll Do • Provide compassionate, high-quality nursing care to residents., • Administer medications and treatments according to physician orders and facility policies, • Monitor residents' health status and report changes promptly to the RN or appropriate healthcare provider., • Perform nursing assessment and document care accurately, • Assist with wound care, treatments, and other nursing procedures with the LPN Scope of practice., • Collaborate with RNs, physicians, CNA's therapists, and other members of the healthcare team, • Maintain accurate and timely clinical documentation., • Follow infection-control procedures and all facility safety policies., • Promote residents' dignity, comfort, independence and overall well-being, • Communicate effectively with residents, families, and members of the interdisciplinary care team. Requirements • Current and valid New York State LPN License., • Graduate of an accredited Practical Nursing program, • Previous experience in skilled nursing, long-term-care, rehabilitation, or a similar healthcare setting is preferred, • Strong clinical assessment, communication and organizational skills, • Ability to work effectively in a fast-paced healthcare environment, • Reliable, compassionate, professional, and patient-focused., • Ability to work independently and collaboratively as a part of multidisciplinary team., • Must be able to meet all facility onboarding, background-check, and heath-screening requirements. Why Work with NPORT Staffing? At NPORT Staffing, WE are committed to connecting qualified healthcare professionals with rewarding opportunities where their skills and dedication are valued. Join NPORT Staffing and take the next step in your nursing Career! If you are an experienced LPN looking for a rewarding opportunity in the Hudson Valley, NY, apply today. Our recruiting team will be happy to connect with qualified candidates and discuss available opportunities NPORT is an equal Opportunity Employer \nCompany Description A CAREER WITH NPORT NPORT is the largest provider of contract nursing and therapy staffing services throughout New York and New Jersey. We provide thousands of hours of staffing every month with long-term, short-term, temp-to-perm and permanent placement positions to fit the needs of our clinicians and our clients. We offer high pay rates, fun and challenging positions with full benefit packages available to you... At NPORT, superior customer service and clinical excellence are our standards every day. We are a top performing therapy staffing company with the ability to service facilities of all types. We provide the most advanced therapists of all disciplines. Whether you are a new grad or a seasoned professional, we have many opportunities for you! We offer a number of standard services to facilities of all types. Standard programs include: \tlong-term and short-term staffing Solutions \tFull time, Part time, Independent Contractor \tlate admissions \tcoverage \ttraditional and non-traditional hours \tweekend and holiday coverage \tDept. of ED \tSkilled Nursing Facilities A CAREER WITH NPORT\r\n\r\nNPORT is the largest provider of contract nursing and therapy staffing services throughout New York and New Jersey. We provide thousands of hours of staffing every month with long-term, short-term, temp-to-perm and permanent placement positions to fit the needs of our clinicians and our clients. We offer high pay rates, fun and challenging positions with full benefit packages available to you... At NPORT, superior customer service and clinical excellence are our standards every day. We are a top performing therapy staffing company with the ability to service facilities of all types. We provide the most advanced therapists of all disciplines. Whether you are a new grad or a seasoned professional, we have many opportunities for you!\r\n \r\nWe offer a number of standard services to facilities of all types. Standard programs include:\r\n\tlong-term and short-term staffing Solutions\r\n\tFull time, Part time, Independent Contractor \r\n\tlate admissions\r\n\tcoverage\r\n\ttraditional and non-traditional hours\r\n\tweekend and holiday coverage\r\n\tDept. of ED \r\n\tSkilled Nursing Facilities

\n ARMStaffing is seeking a travel CT Technologist for a travel job in North Bergen, New Jersey. Job Description & Requirements\n \n • Specialty: CT Technologist\n, • Discipline: Allied Health Professional\n, • Start Date: 11/01/2026\n, • Duration: 14 weeks\n, • 40 hours per week\n, • Shift: 10 hours, days\n, • Employment Type: Travel\n \n Quick Look\n ARMStaffing is looking for a CT Technologist, Radiology (Day Shift) in North Bergen, New Jersey. Location\n North Bergen, NJ Assignment Duration\n This is a 13-week contract position. Schedule/Shift\n Part-time position requiring 20 hours per week, specifically on Saturdays and Sundays from 10 AM to 8 PM. Holiday availability is required. Job Description\n The Cat Scan Technologist will perform computer tomography procedures and assist with interventional and therapeutic techniques, producing sectional and three-dimensional images for interpretation. This role requires thorough patient history review, contrast media administration, and collaboration with physicians to ensure proper imaging protocols are followed. Responsibilities\n \n • Perform complex CT procedures and ensure accurate execution of imaging protocols.\n, • Review and document patient clinical history, ensuring information is accurately scanned into PACS.\n, • Administer contrast media as prescribed and prepare patients by using appropriate shielding and immobilization techniques.\n, • Monitor patients for adverse reactions during procedures and address their questions and concerns effectively.\n, • Evaluate radiographs using PACS to confirm diagnostic quality and proper identification.\n, • Ensure all outside studies and related reports are available for Radiologists in PACS.\n, • Responsible for clarifying prescription details with referring physicians as needed.\n, • Maintain compliance with departmental policies regarding attendance, dress code, and professional conduct.\n Required Experience\n Minimum of 1 year of experience in CT imaging is required. Certifications/Licensure\n \n • NJ DEP Diagnostic Radiography License.\n, • ARRT Certified R.T.(R) license required.\n, • American Heart Association Basic Life Support (BLS) Certification within three months of hire date.\n, • ARRT certified R.T. (CT) license preferred.\n About ARMStaffing\n Founded in 2011 and a member of the ARGroup, LLC, ARMStaffing connects dedicated nurses and allied health professionals with the facilities that need them most. As three-time winners of the Top Workplaces Award and named to SIA’s Largest Staffing Firms in the U.S., we’ve built a reputation on more than just placements — we’ve built it on relationships. \n As a trusted partner to hospitals, rehab centers, and long-term care facilities across the country, we take pride in helping clinicians grow rewarding careers while supporting the organizations that rely on their skills. \n \n ARMStaffing Job ID #38491214. Pay package is based on 10 hour shifts and 40.0 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Radiology:CT Tech,07:00:00-17:00:00 About ARMStaffing\n \n Allied Resources Medical Staffing (ARMStaffing) places the most qualified medical professionals in the industry, including: local and travel contract, temp-to-perm, per diem, and direct-hire personnel. \n As a leader in medical staffing, we cover every segment of the healthcare market and take pride in our ability to exceed our clients' expectations. We accomplish this through our total dedication to our clients and field associates, our over 15 years of experience, a strong and diverse poor of medical professionals, and the high level of loyalty of our internal staff. \n We also make it a point to develop and maintain close relationships with staffing and office managers to ensure clear communication and proper placements based on the client's criteria. This allows us to tailor our services to best suit the staffing needs of our clients, while placing our employees in positions that match their abilities and preferences. \n Our goal is to offer unparalleled service to our valued healthcare clients, regardless of facility size or location, and to maintain a top-notch workforce of qualified, dedicated and medical professionals. \n The Experts in Healthcare Recruiting \n \n • Local and travel contracts\n, • Temp-to-perm employment\n, • Direct-hire personnel\n, • Per Diem\n, • Staffing for every segment of the healthcare industry including, RNs, LPNs, and CNAs, and Allied Health Professionals\n, • Long-term contracts, block scheduling and per diem staffing options\n, • 24-Hour customer service and on-call support 365 days a year\n, • Full-time, registered nurse on staff to provide screening, background, and reference checks\n, • Long-term and temporary career options with outstanding employee benefits\n, • Medical Benefits\n, • Company-matched 401K\n \n \n \n

\n ARMStaffing is seeking a travel Cath Lab Technologist for a travel job in Bronx, New York. Job Description & Requirements\n \n • Specialty: Cath Lab Technologist\n, • Discipline: Allied Health Professional\n, • Start Date: ASAP\n, • Duration: 13 weeks\n, • 40 hours per week\n, • Shift: 10 hours, days\n, • Employment Type: Travel\n \n Cardiac Catheterization Technologist Schedule\n This is a 13-week contract position with 10-hour shifts, including a 1-hour lunch, totaling 35 guaranteed hours per week. Job Description\n The role involves working in a Cardiology Unit, providing essential support in a fast-paced environment specializing in cardiac catheterization procedures. Responsibilities\n \n • Performing cardiac catheterization procedures and assisting with interventional radiology tasks.\n, • Maintaining patient safety and comfort throughout procedures.\n, • Collaborating with medical staff to deliver efficient patient care.\n, • Participating in rotating on-call schedules as required.\n Required Experience / Certifications / Licensure\n \n, • New York State License as an X-ray Technologist.\n, • Certification to inject as per the requirements of section 89.40 of part 89.\n, • Registered Cardiovascular Invasive Specialist Certification or ARRT Certification.\n, • BLS and ACLS Certification from the American Heart Association.\n, • Graduate from an accredited school of Radiology.\n, • Minimum of two years of experience as a Cardiac Cath Tech or X-ray Technologist, with at least one year in an Interventional Radiology or Cardiac Catheterization Suite.\n Why ARMStaffing?\n At ARMStaffing, we take care of our employees! We offer: \n \n • Health Benefits: Medical, Dental, Vision, Life, and more\n, • Onboarding Made Easy: We handle physicals, titers, and more so you can focus on care\n, • Clinical Support: In-house clinical team available to assist and advocate\n, • 401k Retirement Plan: Eligible after waiting period; 4% match with 5% contribution\n, • Recruiter Matching: Get paired with a recruiter based on your location and specialty\n, • Extras: Travel reimbursement, housing allowance, meals, referral bonuses, and more\n \n We're not the only ones who think ARMStaffing should be your first choice. Here’s why: \n \n • SIA’s Top-50 Fastest Growing Healthcare Staffing Firms – 2019\n, • SIA’s Largest Healthcare Staffing Agencies in the U.S. – 2023\n, • Top Workplace in the Lehigh Valley – 2022, 2023\n, • Perfect scores for 'Name, Not a Number' and 'Recruiters' Personalities' on Highway Hypodermics\n, • We've earned The Joint Commission’s Gold Seal of Approval for healthcare staffing 15 years strong and counting!\n \n Contract & local rates may vary based on location and applicant residency. Ask your ARMStaffing recruiter for details! \n \n ARMStaffing Job ID #38286205. Pay package is based on 10 hour shifts and 40.0 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Cath Lab Tech:Cath Lab Tech,07:00:00-17:00:00 About ARMStaffing\n \n Allied Resources Medical Staffing (ARMStaffing) places the most qualified medical professionals in the industry, including: local and travel contract, temp-to-perm, per diem, and direct-hire personnel. \n As a leader in medical staffing, we cover every segment of the healthcare market and take pride in our ability to exceed our clients' expectations. We accomplish this through our total dedication to our clients and field associates, our over 15 years of experience, a strong and diverse poor of medical professionals, and the high level of loyalty of our internal staff. \n We also make it a point to develop and maintain close relationships with staffing and office managers to ensure clear communication and proper placements based on the client's criteria. This allows us to tailor our services to best suit the staffing needs of our clients, while placing our employees in positions that match their abilities and preferences. \n Our goal is to offer unparalleled service to our valued healthcare clients, regardless of facility size or location, and to maintain a top-notch workforce of qualified, dedicated and medical professionals. \n The Experts in Healthcare Recruiting \n \n • Local and travel contracts\n, • Temp-to-perm employment\n, • Direct-hire personnel\n, • Per Diem\n, • Staffing for every segment of the healthcare industry including, RNs, LPNs, and CNAs, and Allied Health Professionals\n, • Long-term contracts, block scheduling and per diem staffing options\n, • 24-Hour customer service and on-call support 365 days a year\n, • Full-time, registered nurse on staff to provide screening, background, and reference checks\n, • Long-term and temporary career options with outstanding employee benefits\n, • Medical Benefits\n, • Company-matched 401K\n \n \n \n

We’re preparing for multiple CRNA locum openings across the New York City metro area, including locations in: \n Manhattan | Queens | Brooklyn | Bronx | Westchester County \n These roles offer a unique chance to practice in high-acuity hospital settings with access to advanced technology, diverse cases, and a collaborative care team environment. \n\n Compensation: \n • Rate: $200–$220/hr (based on experience & site) \n • Travel & Lodging: Available for qualifying providers \n • Malpractice: Covered \n ️ Start Date: Flexible – Anticipated late summer or early fall 2025 \n ⏳ Contract Length: 13+ weeks with potential to extend Charting: Epic \n\n Schedule: \n • Full-time preferred; consistent part-time considered \n • Day shifts with 8s, 10s, or 12s depending on location \n • No call or light home call at most sites \n\n Case Mix: \n • General, ENT, Ortho, GI, OB, Neuro, and more \n • Supervised care team model \n • Strong clinical support with opportunities to work in academic environments \n\n ✅ Requirements: \n • CRNA certification \n • Active NY license (or in progress) \n • Open to experienced CRNAs and confident early-career providers \n • COVID-19 vaccination required per facility policy \n\n This is a fantastic opportunity to work across prestigious hospital campuses throughout NYC, build your resume, and enjoy the flexibility of locum tenens—all while living in one of the most iconic regions in the country. \n Submit your interest now to get ahead of these openings—they’ll move quickly once live! \n Refer a Colleague – Know someone who might be interested? Refer them and you could earn referral fee! \n Looking forward to connecting soon! \n \n Heather Kylen, RN \n Locums Recruiting Consultant \n P: 858.283.4404

Build What's Next with Zurich Middle Markets At Zurich Middle Markets, we're experiencing remarkable momentum, delivering double-digit growth for four consecutive years and positioning ourselves for even greater success ahead. Our continued growth is driven by exceptional talent, strong broker partnerships, and a commitment to helping our customers navigate complex risks with confidence. As we continue expanding our Private Equity practice, we are seeking an experienced Underwriting Specialist or Executive Underwriter to join our team in New York City. This is an exciting opportunity to play a key role in a growing business, partner with top-tier brokers and clients, and contribute to a high-performing team known for underwriting excellence and innovation. In this role, you'll serve as a trusted advisor and customer advocate, helping private equity-backed organizations identify, assess, and manage risk through tailored Property & Casualty insurance solutions. You'll have the opportunity to make meaningful business decisions, build valuable market relationships, and directly influence the success of your portfolio. This is a hybrid opportunity based in our New York City office. What You'll Do: As a member of Zurich's Middle Markets Private Equity team, you will: • Build and strengthen relationships with brokers, distribution partners, and customers across a diverse range of industries to support business growth and profitability., • Evaluate, analyze, and price new and renewal business while leveraging your underwriting expertise to maintain a profitable portfolio., • Serve as a strategic partner to customers by understanding their unique operational and financial risks and delivering tailored insurance solutions., • Collaborate closely with cross-functional teams including Claims, Risk Engineering, Finance, Actuarial, and Technical Underwriting to provide best-in-class service and underwriting outcomes., • Utilize your technical underwriting, negotiation, and relationship management skills to identify opportunities, drive business development, and deepen broker partnerships., • Contribute to an innovative and rapidly growing Private Equity segment while building expertise in a highly specialized area of the insurance industry., • Take ownership of your territory and book of business, balancing growth objectives with disciplined underwriting practices. Why Join Zurich Middle Markets? • Be part of a rapidly growing and highly visible Private Equity practice with mentorship offered in this space., • Partner with industry-leading brokers and sophisticated middle market clients., • Collaborate with experienced underwriting professionals and cross-functional experts., • Enjoy the flexibility of a hybrid work environment., • Grow your career within a global insurance leader known for innovation, employee development, and underwriting excellence., • Make a meaningful impact by helping businesses protect what matters most while achieving their growth objectives. Basic Qualifications: This position may be filled at either the Underwriting Specialist or Executive Underwriter level. The final level will be determined based on the selected candidate's experience, technical expertise, and overall qualifications. Underwriting Specialist: • High School Diploma or Equivalent and 3 or more years of experience in the Underwriting or Market Facing area. OR • High School Diploma or Equivalent and 6 or more years of experience in the Claims or Underwriting Support area. OR • Zurich Certified Insurance Apprentice including an Associate Degree and 1 or more years of experience in the Underwriting or Market Facing area. OR • Zurich Certified Insurance Apprentice including an Associate Degree and 4 or more years of experience in the Claims or Underwriting Support area. AND • Knowledge of line/s of business and the legal and regulatory guidelines, • Knowledge of time restraints for quotes on new and renewal business, • Experience with Microsoft Office OR Executive Underwriter: • High School Diploma or Equivalent and 5 or more years of experience in the Underwriting or Market Facing area. OR • High School Diploma or Equivalent and 10 or more years of experience in the Claims or Underwriting Support area. OR • Zurich Certified Insurance Apprentice including an Associate Degree and 3 or more years of experience in the Underwriting or Market Facing area. OR • Zurich Certified Insurance Apprentice including an Associate Degree and 8 or more years of experience in the Claims or Underwriting Support area. AND • Knowledge of Microsoft Office, • Experience working on time restraints for quotes on new and renewal business Preferred Qualifications: • Bachelor's Degree, • Established relationships with Private Equity or P&C broker partners, • Strong verbal, written, and interpersonal communication skills, • Proficiency with Microsoft Office applications, • Demonstrated ability to build and maintain strong business relationship, • Strong analytical, negotiation, and decision-making skills Your pay at Zurich is based on your role, location, skills, and experience. We follow local laws to ensure fair compensation. You may also be eligible for bonuses and merit increases. If your expectations are above the listed range, we still encourage you to apply—your unique background matters to us. The pay range shown is a national average and may vary by location. The combined salary range for this position is $94,800.00 - $205,100.00. The proposed salary range for the Underwriting Specialist is $94,800.00 - $155,100.00, with short-term incentive bonus eligibility set at 10%. The proposed salary range for the Executive Underwriter is $125,300.00 - $205,100.00, with short-term incentive bonus eligibility set at 15%. We offer competitive pay and comprehensive benefits for employees and their families. [Learn more about Total Rewards _.] Why Zurich? At Zurich, we value your ideas and experience. We offer growth, inclusion, and a supportive environment—so you can help shape the future of insurance. Zurich North America is a leader in risk management, with over 150 years of expertise and coverage across 25+ industries, including 90% of the Fortune 500®. Join us for a brighter future—for yourself and our customers. Zurich in North America does not discriminate based on race, ethnicity, color, religion, national origin, sex, gender expression, gender identity, genetic information, age, disability, protected veteran status, marital status, sexual orientation, pregnancy or other characteristics protected by applicable law. Equal Opportunity Employer disability/vets. Zurich complies with 18 U.S. Code § 1033. Please note: Zurich does not accept unsolicited CVs from agencies. Preferred vendors should use our Recruiting Agency Portal. Location(s): AM - New York Remote Working: Hybrid Schedule: Full Time Employment Sponsorship Offered: No Linkedin Recruiter Tag: #LI-AK1 #LI-ASSOCIATE #LI-HYBRID

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).

The purpose of this job is to consistently achieve individual sales goals to support the store's sales and profit objectives, provide superior customer service, and take on other senior-level responsibilities within a store. Essential Functions (not all-inclusive): • Generate sales to exceed personal sales goals, • Promote the Music & Arts lesson program, • Create business by networking with teachers/schools, churches, and community organizations, • Develop customer relationships and provide compelling sales presentations based on sales training, • Demonstrate outstanding customer service to each and every customer, • Promote customer loyalty, • Participate in all areas of store's operation including merchandising, displays, and maintenance, • Maintain store security including: perimeter door keys, register keys and personal alarm code, • Additional duties as assigned. About Music & Arts Music & Arts embodies the world of creativity and music by encouraging our teammates to find their own individual sound. We strive to create lifelong musicians and make a difference in the world by enabling musicians and non-musicians alike to experience the almost indescribable happiness that comes from playing an instrument. We believe in putting our customers first, engaging with respect and integrity and fulfilling our mission with passion. The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 225+ retail stores, 200+ educational representatives, and 250+ affiliate locations. Skills, Experience and Education: Minimum Requirements: • High School Diploma or GED required., • 2 years of relevant work experience, • Skilled knowledge of musical instruments and written music Why Music & Arts? Here's just some of the rewards: For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks, including Medical, Dental, Vision, 401K plus company match, mental health support, paid sick/holiday/vacation time, employee discount program, and tuition reimbursement options. Pay Rate: $16.45 - 16.92 phr depending on location, background and experience. • The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors., • The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations. Additional Information: Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job? related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by calling 1?818-735-8800 ext. 2862 or by sending an email to recruiting@guitarcenter.com.

The purpose of this job is to consistently achieve individual sales goals to support the store's sales and profit objectives, provide superior customer service, and take on other senior-level responsibilities within a store. Essential Functions (not all-inclusive): • Generate sales to exceed personal sales goals, • Promote the Music & Arts lesson program, • Create business by networking with teachers/schools, churches, and community organizations, • Develop customer relationships and provide compelling sales presentations based on sales training, • Demonstrate outstanding customer service to each and every customer, • Promote customer loyalty, • Participate in all areas of store's operation including merchandising, displays, and maintenance, • Maintain store security including: perimeter door keys, register keys and personal alarm code, • Additional duties as assigned. Why Music & Arts? Here's just some of the rewards: Pay Rate: $16.00 - $16.20phr depending on location, background and experience + additional incentives. For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks, including 401K plus company match, employee discount program, and more. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations Additional Information: Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job? related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by calling 1?818-735-8800 ext. 2862 or by sending an email to recruiting@guitarcenter.com. Skills, Experience and Education: Minimum Requirements: • High School Diploma or GED required., • 2 years of relevant work experience, • Skilled knowledge of musical instruments and written music The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 200+ retail stores, 120+ educational representatives, and 300+ affiliate locations.

This position is eligible to participate in the Music & Arts Company bonus program based on Company performance. The Retail Store Manager is responsible for running day-to-day sales and operations while meeting excellent customer service standards. Essential Functions (not all-inclusive): • Manage Sales team by coaching, counseling, advice, support, motivation or any information needed in order to help and meet their sales objectives, • Stay current on financial data, inventory, and other statistics, • Be sure that all products in the store are available for purchase and displayed appropriately, • Oversee and manage payroll, recruiting, hiring and training of store employees, • Responsible for executing operational tasks related to institutional sales and rental services on a daily basis for all accounts assigned., • Promote the Music & Arts lesson program and assist teachers, • Demonstrate outstanding customer service to each and every customer, • Additional duties as assigned Why Music & Arts? Here's just some of the rewards: For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks for full time employees including Medical, Dental, Vision, 401K plus company match, mental health support, paid sick/holiday/vacation time, employee discount program, and tuition reimbursement options. Pay Rate: $19.00 - $22.00/phr depending on location, background and experience. This position is eligible to receive bonus and other sales incentives. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations About Music & Arts Music & Arts embodies the world of creativity and music by encouraging our teammates to find their own individual sound. We strive to create lifelong musicians and make a difference in the world by enabling musicians and non-musicians alike to experience the almost indescribable happiness that comes from playing an instrument. We believe in putting our customers first, engaging with respect and integrity and fulfilling our mission with passion. The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 225+ retail stores, 200+ educational representatives, and 250+ affiliate locations. To join our band, you'll need the following experience: Minimum Requirements: • High School Diploma or Equivalent, • 2 years of relevant work experience Preferred Requirements: • 3-5 years retail experience, • Musical experience and interest Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by sending an email to recruiting@guitarcenter.com.

The purpose of this job is to consistently achieve individual sales goals to support the store's sales and profit objectives, provide superior customer service, and take on other senior-level responsibilities within a store. Essential Functions (not all-inclusive): • Generate sales to exceed personal sales goals, • Promote the Music & Arts lesson program, • Create business by networking with teachers/schools, churches, and community organizations, • Develop customer relationships and provide compelling sales presentations based on sales training, • Demonstrate outstanding customer service to each and every customer, • Promote customer loyalty, • Participate in all areas of store's operation including merchandising, displays, and maintenance, • Maintain store security including: perimeter door keys, register keys and personal alarm code, • Additional duties as assigned. Why Music & Arts? Here's just some of the rewards: Pay Rate: $16.00 - $16.20phr depending on location, background and experience + additional incentives. For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks, including 401K plus company match, employee discount program, and more. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations Additional Information: Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job? related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by calling 1?818-735-8800 ext. 2862 or by sending an email to recruiting@guitarcenter.com. Skills, Experience and Education: Minimum Requirements: • High School Diploma or GED required., • 2 years of relevant work experience, • Skilled knowledge of musical instruments and written music The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 200+ retail stores, 120+ educational representatives, and 300+ affiliate locations.

This position is eligible to participate in the Music & Arts Company bonus program based on Company performance. The Retail Store Manager is responsible for running day-to-day sales and operations while meeting excellent customer service standards. Essential Functions (not all-inclusive): • Manage Sales team by coaching, counseling, advice, support, motivation or any information needed in order to help and meet their sales objectives, • Stay current on financial data, inventory, and other statistics, • Be sure that all products in the store are available for purchase and displayed appropriately, • Oversee and manage payroll, recruiting, hiring and training of store employees, • Responsible for executing operational tasks related to institutional sales and rental services on a daily basis for all accounts assigned., • Promote the Music & Arts lesson program and assist teachers, • Demonstrate outstanding customer service to each and every customer, • Additional duties as assigned Why Music & Arts? Here's just some of the rewards: For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks for full time employees including Medical, Dental, Vision, 401K plus company match, mental health support, paid sick/holiday/vacation time, employee discount program, and tuition reimbursement options. Pay Rate: $19.00 - $22.00/phr depending on location, background and experience. This position is eligible to receive bonus and other sales incentives. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations About Music & Arts Music & Arts embodies the world of creativity and music by encouraging our teammates to find their own individual sound. We strive to create lifelong musicians and make a difference in the world by enabling musicians and non-musicians alike to experience the almost indescribable happiness that comes from playing an instrument. We believe in putting our customers first, engaging with respect and integrity and fulfilling our mission with passion. The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 225+ retail stores, 200+ educational representatives, and 250+ affiliate locations. To join our band, you'll need the following experience: Minimum Requirements: • High School Diploma or Equivalent, • 2 years of relevant work experience Preferred Requirements: • 3-5 years retail experience, • Musical experience and interest Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by sending an email to recruiting@guitarcenter.com.

The purpose of this job is to consistently achieve individual sales goals to support the store's sales and profit objectives, provide superior customer service, and take on other senior-level responsibilities within a store. Essential Functions (not all-inclusive): • Generate sales to exceed personal sales goals, • Promote the Music & Arts lesson program, • Create business by networking with teachers/schools, churches, and community organizations, • Develop customer relationships and provide compelling sales presentations based on sales training, • Demonstrate outstanding customer service to each and every customer, • Promote customer loyalty, • Participate in all areas of store's operation including merchandising, displays, and maintenance, • Maintain store security including: perimeter door keys, register keys and personal alarm code, • Additional duties as assigned. Why Music & Arts? Here's just some of the rewards: Pay Rate: $16.00 - $16.20phr depending on location, background and experience + additional incentives. For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks, including 401K plus company match, employee discount program, and more. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations Additional Information: Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job? related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by calling 1?818-735-8800 ext. 2862 or by sending an email to recruiting@guitarcenter.com. Skills, Experience and Education: Minimum Requirements: • High School Diploma or GED required., • 2 years of relevant work experience, • Skilled knowledge of musical instruments and written music The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 200+ retail stores, 120+ educational representatives, and 300+ affiliate locations.

The purpose of this job is to consistently achieve individual sales goals to support the store's sales and profit objectives, provide superior customer service, and take on other senior-level responsibilities within a store. Essential Functions (not all-inclusive): • Generate sales to exceed personal sales goals, • Promote the Music & Arts lesson program, • Create business by networking with teachers/schools, churches, and community organizations, • Develop customer relationships and provide compelling sales presentations based on sales training, • Demonstrate outstanding customer service to each and every customer, • Promote customer loyalty, • Participate in all areas of store's operation including merchandising, displays, and maintenance, • Maintain store security including: perimeter door keys, register keys and personal alarm code, • Additional duties as assigned. Why Music & Arts? Here's just some of the rewards: Pay Rate: $16.00 - $16.20phr depending on location, background and experience + additional incentives. For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks, including 401K plus company match, employee discount program, and more. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations Additional Information: Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job? related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by calling 1?818-735-8800 ext. 2862 or by sending an email to recruiting@guitarcenter.com. Skills, Experience and Education: Minimum Requirements: • High School Diploma or GED required., • 2 years of relevant work experience, • Skilled knowledge of musical instruments and written music The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 200+ retail stores, 120+ educational representatives, and 300+ affiliate locations.

The purpose of this job is to consistently achieve individual sales goals to support the store's sales and profit objectives, provide superior customer service, and take on other senior-level responsibilities within a store. Essential Functions (not all-inclusive): • Generate sales to exceed personal sales goals, • Promote the Music & Arts lesson program, • Create business by networking with teachers/schools, churches, and community organizations, • Develop customer relationships and provide compelling sales presentations based on sales training, • Demonstrate outstanding customer service to each and every customer, • Promote customer loyalty, • Participate in all areas of store's operation including merchandising, displays, and maintenance, • Maintain store security including: perimeter door keys, register keys and personal alarm code, • Additional duties as assigned. Why Music & Arts? Here's just some of the rewards: Pay Rate: $16.00 - $16.20phr depending on location, background and experience + additional incentives. For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks, including 401K plus company match, employee discount program, and more. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations Additional Information: Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job? related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by calling 1?818-735-8800 ext. 2862 or by sending an email to recruiting@guitarcenter.com. Skills, Experience and Education: Minimum Requirements: • High School Diploma or GED required., • 2 years of relevant work experience, • Skilled knowledge of musical instruments and written music The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 200+ retail stores, 120+ educational representatives, and 300+ affiliate locations.

This position is eligible to participate in the Music & Arts Company bonus program based on Company performance. The Retail Store Manager is responsible for running day-to-day sales and operations while meeting excellent customer service standards. Essential Functions (not all-inclusive): • Manage Sales team by coaching, counseling, advice, support, motivation or any information needed in order to help and meet their sales objectives, • Stay current on financial data, inventory, and other statistics, • Be sure that all products in the store are available for purchase and displayed appropriately, • Oversee and manage payroll, recruiting, hiring and training of store employees, • Responsible for executing operational tasks related to institutional sales and rental services on a daily basis for all accounts assigned., • Promote the Music & Arts lesson program and assist teachers, • Demonstrate outstanding customer service to each and every customer, • Additional duties as assigned Why Music & Arts? Here's just some of the rewards: For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks for full time employees including Medical, Dental, Vision, 401K plus company match, mental health support, paid sick/holiday/vacation time, employee discount program, and tuition reimbursement options. Pay Rate: $19.00 - $22.00/phr depending on location, background and experience. This position is eligible to receive bonus and other sales incentives. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations About Music & Arts Music & Arts embodies the world of creativity and music by encouraging our teammates to find their own individual sound. We strive to create lifelong musicians and make a difference in the world by enabling musicians and non-musicians alike to experience the almost indescribable happiness that comes from playing an instrument. We believe in putting our customers first, engaging with respect and integrity and fulfilling our mission with passion. The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 225+ retail stores, 200+ educational representatives, and 250+ affiliate locations. To join our band, you'll need the following experience: Minimum Requirements: • High School Diploma or Equivalent, • 2 years of relevant work experience Preferred Requirements: • 3-5 years retail experience, • Musical experience and interest Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by sending an email to recruiting@guitarcenter.com.

This position is eligible to participate in the Music & Arts Company bonus program based on Company performance. The Retail Store Manager is responsible for running day-to-day sales and operations while meeting excellent customer service standards. Essential Functions (not all-inclusive): • Manage Sales team by coaching, counseling, advice, support, motivation or any information needed in order to help and meet their sales objectives, • Stay current on financial data, inventory, and other statistics, • Be sure that all products in the store are available for purchase and displayed appropriately, • Oversee and manage payroll, recruiting, hiring and training of store employees, • Responsible for executing operational tasks related to institutional sales and rental services on a daily basis for all accounts assigned., • Promote the Music & Arts lesson program and assist teachers, • Demonstrate outstanding customer service to each and every customer, • Additional duties as assigned Why Music & Arts? Here's just some of the rewards: For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks for full time employees including Medical, Dental, Vision, 401K plus company match, mental health support, paid sick/holiday/vacation time, employee discount program, and tuition reimbursement options. Pay Rate: $19.00 - $22.00/phr depending on location, background and experience. This position is eligible to receive bonus and other sales incentives. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations About Music & Arts Music & Arts embodies the world of creativity and music by encouraging our teammates to find their own individual sound. We strive to create lifelong musicians and make a difference in the world by enabling musicians and non-musicians alike to experience the almost indescribable happiness that comes from playing an instrument. We believe in putting our customers first, engaging with respect and integrity and fulfilling our mission with passion. The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 225+ retail stores, 200+ educational representatives, and 250+ affiliate locations. To join our band, you'll need the following experience: Minimum Requirements: • High School Diploma or Equivalent, • 2 years of relevant work experience Preferred Requirements: • 3-5 years retail experience, • Musical experience and interest Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by sending an email to recruiting@guitarcenter.com.

This position is eligible to participate in the Music & Arts Company bonus program based on Company performance. The Retail Store Manager is responsible for running day-to-day sales and operations while meeting excellent customer service standards. Essential Functions (not all-inclusive): • Manage Sales team by coaching, counseling, advice, support, motivation or any information needed in order to help and meet their sales objectives, • Stay current on financial data, inventory, and other statistics, • Be sure that all products in the store are available for purchase and displayed appropriately, • Oversee and manage payroll, recruiting, hiring and training of store employees, • Responsible for executing operational tasks related to institutional sales and rental services on a daily basis for all accounts assigned., • Promote the Music & Arts lesson program and assist teachers, • Demonstrate outstanding customer service to each and every customer, • Additional duties as assigned Why Music & Arts? Here's just some of the rewards: For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks for full time employees including Medical, Dental, Vision, 401K plus company match, mental health support, paid sick/holiday/vacation time, employee discount program, and tuition reimbursement options. Pay Rate: $19.00 - $22.00/phr depending on location, background and experience. This position is eligible to receive bonus and other sales incentives. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations About Music & Arts Music & Arts embodies the world of creativity and music by encouraging our teammates to find their own individual sound. We strive to create lifelong musicians and make a difference in the world by enabling musicians and non-musicians alike to experience the almost indescribable happiness that comes from playing an instrument. We believe in putting our customers first, engaging with respect and integrity and fulfilling our mission with passion. The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 225+ retail stores, 200+ educational representatives, and 250+ affiliate locations. To join our band, you'll need the following experience: Minimum Requirements: • High School Diploma or Equivalent, • 2 years of relevant work experience Preferred Requirements: • 3-5 years retail experience, • Musical experience and interest Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by sending an email to recruiting@guitarcenter.com.

The purpose of this job is to consistently achieve individual sales goals to support the store's sales and profit objectives, provide superior customer service, and take on other senior-level responsibilities within a store. Essential Functions (not all-inclusive): • Generate sales to exceed personal sales goals, • Promote the Music & Arts lesson program, • Create business by networking with teachers/schools, churches, and community organizations, • Develop customer relationships and provide compelling sales presentations based on sales training, • Demonstrate outstanding customer service to each and every customer, • Promote customer loyalty, • Participate in all areas of store's operation including merchandising, displays, and maintenance, • Maintain store security including: perimeter door keys, register keys and personal alarm code, • Additional duties as assigned. Why Music & Arts? Here's just some of the rewards: Pay Rate: $16.00 - $16.20phr depending on location, background and experience + additional incentives. For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks, including 401K plus company match, employee discount program, and more. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations Additional Information: Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job? related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by calling 1?818-735-8800 ext. 2862 or by sending an email to recruiting@guitarcenter.com. Skills, Experience and Education: Minimum Requirements: • High School Diploma or GED required., • 2 years of relevant work experience, • Skilled knowledge of musical instruments and written music The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 200+ retail stores, 120+ educational representatives, and 300+ affiliate locations.