Trabajos answering service en Newark, New JerseyCrear alertas

Job DescriptionNot every front desk job feels the same. At Heart of Harlem Veterinary Clinic, we are looking for a Veterinary Receptionist who brings warmth, professionalism, and great energy to the front of our clinic. This role is so much more than answering phones. You are one of the first people our clients meet, one of the voices they remember, and a big part of what makes our clinic feel welcoming, calm, and cared for. We are a busy, community-based veterinary clinic in Harlem with wonderful clients, great patients, and a team that truly enjoys working together. If you love people, love animals, and know how to keep things organized in a fast-moving environment, we’d love to meet you. What we offer • Pay: $18–$24 per hour, • Schedule: Full-time, 4 days per week, 40 hours total, • Some Saturdays required, • Health insurance, • Matching 401(k), • Paid time off, • A supportive, team-oriented clinic culture, • The opportunity to grow with a respected veterinary practice in NYCWhat you’ll do, • Answer phone calls with warmth, professionalism, and confidence, • Schedule appointments and help manage the daily flow of the clinic, • Greet clients and patients and create a welcoming first impression, • Check clients in and out, • Handle client communication in person, by phone, and digitally, • Help process and file insurance claims, • Maintain accurate records and update client information, • Assist with front desk organization and administrative support, • Help clients feel heard, informed, and taken care of, • Support the medical team by keeping communication clear and organizedWhat we’re looking for, • Someone friendly, reliable, organized, and calm under pressure, • Strong communication and customer service skills, • Comfortable handling phones, scheduling, and multitasking, • Someone who enjoys working with both people and animals, • A team player who takes pride in creating a positive client experience, • Veterinary reception, animal hospital, medical office, or customer service experience is a plusWhy Heart of Harlem We’ve built a clinic that feels personal. Our clients trust us. Our team supports each other. Our work matters. And the person at the front desk plays a huge role in making all of that possible. This is a great opportunity for someone who wants to be part of a clinic with heart — a place where you are not just filling a position, but becoming part of a team and a community. If you’re looking for a veterinary receptionist role in NYC where your work truly matters, we’d love to hear from you.

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).

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).

Job Description We are looking for a motivated Junior Stylist who is ready to grow in a professional salon environment. This role is ideal for a cosmetology student or recent graduate who wants to gain real-world experience, build their portfolio, and grow into a full stylist with their own clientele. Responsibilities: • Assist with salon services including shampooing, prepping, and supporting stylists, • Perform basic services as you develop (blowouts, styling, etc.), • Build your portfolio through real client work and content creation, • Provide a professional and welcoming experience for clients, • Maintain a clean and organized workstation During slower periods, you will assist with light front desk responsibilities such as greeting clients, answering calls, and booking appointments. What You’ll Gain: • Hands-on experience working with real clients, • The opportunity to build your portfolio and personal brand, • Training and support in a professional salon environment, • A clear path to becoming a full stylist We are looking for someone who is reliable, eager to learn, and interested in building a long-term career in the beauty industry. \nCompany Description Salon Agnesia is a growing salon based in Jersey City focused on providing high-quality services and creating an exceptional client experience. We are committed to helping stylists build their skills, grow their clientele, and develop long-term careers in the beauty industry. Our environment is professional, supportive, and growth-oriented, giving team members the opportunity to gain real experience while working with clients. At Salon Agnesia, we value consistency, professionalism, and a strong work ethic. We are looking for individuals who want to grow with us and be part of a team that is focused on both service quality and long-term success. Salon Agnesia is a growing salon based in Jersey City focused on providing high-quality services and creating an exceptional client experience.\r\n\r\nWe are committed to helping stylists build their skills, grow their clientele, and develop long-term careers in the beauty industry. Our environment is professional, supportive, and growth-oriented, giving team members the opportunity to gain real experience while working with clients.\r\n\r\nAt Salon Agnesia, we value consistency, professionalism, and a strong work ethic. We are looking for individuals who want to grow with us and be part of a team that is focused on both service quality and long-term success.

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 Do you have the urge to smile all of the time? Do you like to help people and see a smile on other's faces? If so, then you can be a Cashier for Chopt. Our cashiers are multi taskers who move quickly but take the time to ensure every customer experience ends Better. Responsibilities: • Ringing up customers' orders, • Utilizing proper cash handling procedures, • Maintaining a stocked, clean, and organized station, • Demonstrating a complete knowledge of the menu, • Adapting to the flow of the business with a sense of urgency, • Answering phone calls in a professional manner, • Monitoring pick-up and delivery orders, • Communicating with customers regarding promotions and new menu items, • Engaging with the customers and ensuring every person leaves happy, • Being a team player and looking for ways to provide Better customer service Qualifications/Requirements: • Must have the ability to communicate in basic English with customers, • Must have an ability to understand customer requests as well as the ability to respond with appropriate actions and provide accurate recommendations, • Must be competent on computerized register systems and have good cash handling skills, • Must understand and execute food safety and sanitation protocols, • Must have the ability to stand for long periods of time and work in a fast moving environment, • Standing, stooping, kneeling, walking , wiping, reaching, bending and lifting are required actions throughout a shift, • Ability to multi-task and handle multiple priorities during the shift Benefits of working at Chopt: • Competitive hourly rates and performance based pay increases, • A clear career path with opportunities for advancement – 50% of all managers started in hourly positions, • Variety of Health and Wellness Benefits, • Pre-Tax Transit and Flexible Spending Benefits, • Generous PTO Policy for all employees, • Employee Meal Discounts, • Employee Assistance Resources Work Conditions/Hours: • Hours will vary and may include early mornings, late evenings, weekends and/or holidays, • All Chopt employees will be hired on a variable hour basis. Hours are scheduled based on performance and business necessities We use eVerify to confirm U.S. Employment eligibility.

Job DescriptionHiring ASAP. 30 Burgers in Rurherford is looking to hire multiple cashiers for various shifts throughout the week. The pay is $15.49 an hour plus tips. Tips vary but can add another $1 to $5+ an hour to your final payment. Hiring ASAP! Main Job Responsibilities: • Entry-level positions, cashier jobs, involve customer service and basic computer skills., • Some mathematics skills may also prove beneficial., • Cashiers greet customers, ring up purchases, and handle money., • In some cases, cashiers must also assist in food preparation. Other Daily Responsibilities: Additional job duties include answering questions about menu items and reviewing restaurant policies and services with customers. 30 Burgers Requirements: • Physical ability to stand for extended periods and to move and handle boxes of food and supplies, which entails lifting up to 50 lbs., • Ability to work in high temperatures., • Ability to work variable hours/days, including nights, weekends, and holidays, as needed., • Ability to successfully complete the training program., • Ability to follow all guidelines and procedures set forth by 30Burger, local, state, and federal employment regulations. Hours and Days Needed: Looking for several cashiers to cover various shifts throughout the week. Hiring ASAP Job Type: Part-time. Salary: The pay is $15.49 an hour plus tips. Tips vary but can add another $1 to $5+ an hour to your final payment. Hiring ASAP.

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).

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 DescriptionTitle: Social Worker, Birth Parent Services Reports to: Associate Director, Birth Parent Services Department: Domestic Adoption Primary Purpose The Social Worker, Birth Parent Services responsibilities include working with birth parents in the options counseling, permanency planning and adoption process, individual counseling, writing psychosocial histories, visiting clients in hospital and community, discharging babies from hospital, facilitating selection of and meetings with adoptive parents, assisting in placement and/or return of infants, referral to community support services. The Social Worker will conduct outreach, education, and training at hospitals and agencies that serve expectant parents. Work closely with Associate Director to implement department goals. This is an in-person position with annual salary range of $62,000-$71,000 commensurate with experience. Spence-Chapin is a non-profit organization based in New York City that has been providing adoption services and adoption support for more than 115 years. At Spence-Chapin, we believe that every child deserves a family, and we work tirelessly to advocate for children in need of a permanent, loving home. Over our history, Spence-Chapin has served more than 30,000 children, women, and families through our main program areas: Comprehensive Domestic and International Adoption Programs; Birth Parent Services; Well-being Services; and International Humanitarian Aid through programs like our Granny Program to support children living in orphanages overseas. Our work is made possible by the dedicated individuals on our staff. At Spence-Chapin we find joy in celebrating each other, our co-workers, and our clients. Everyone is treated with respect and dignity to strengthen the vibrancy of our community. We celebrate a culture of excellence, inclusivity, compassion, flexibility, and support. Spence-Chapin offers a competitive benefits package that includes full health benefits, generous PTO and holiday schedule, HRA & FSA plans, life insurance, retirement plan with employer contribution, paid maternity/paternity/ adoption leave, commuter benefits, and more. Being part of the Spence-Chapin team is being part of a legacy, which for more than 115 years has provided critical services to children, women, and families around the world. Key Performance Indicators • Provide “options counseling” to pregnant and postpartum woman considering adoption for their newborns and young children, • Visit clients in the hospital and at home, as needed, • Represent the agency at hospital and discharge babies from hospitals to the agency’s interim care program, • Determine client’s need for services and make referrals to resources outside of the agency, • Gather bio-psycho-social background information, formulate assessments and write histories, • Write case notes in client database and maintain up-to-date case records, • Educate clients on best practices in adoption. Guide clients in planning, including making hospital plans, matching with adoptive families, reviewing legal documents and securing an optimal post surrender contact plan, • Provide therapeutic counseling to individuals and families, • Participate in placement and return of infants, • Provide short term supportive counseling to clients who have placed a child, • Participate in answering birth parent inquiry calls to agency’s toll free birth parent telephone line, • Actively participate in weekly supervision with direct supervisor, • Perform any other department or agency-related duties or special projects as directed by supervisor, • Provide birth parent outreach, education and training to professionals at local hospitals, clinics and social services, • Provide weekend on-call coverage approximately one every 6-7 weeksEducation & Experience, • MSW from an accredited school of social work, or a related degree required, • A minimum of two years MSW experience or related experience working directly with clients in a social service setting, • Must have a valid driver’s license and clean driving record, • Experience in adoption and/or pregnancy counselling preferred; must have at least one-year counselling, • Spanish speaking a plusTechnical Skills, • MS Office –Proficiency in Word, Excel and Outlook, • Knowledge of completing case notes in a database environmentKey Competencies, • Strong organizational skills, and ability to meet tight deadlines, • Ability to multitask; strong execution skills; thorough follow through, and attention to detail, • Excellent oral and written communication and presentation skills, • Ability to work in a collaborative environment with various departments, which supports both individual and cooperative work, • Ability to work independently at satellite office locationsThis job description is not intended to detail every aspect of your job or list every task you may perform. It is provided as a general overview of the responsibilities and skills required to do this job successfully. Powered by JazzHR bDUONCvSXT

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).

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).

POSITION SUMMARY \n Wealth Management Associates provide exceptional service to our clients and support Financial Advisor(s) (FAs)/ Private Wealth Advisor(s) (PWAs)/ teams on a daily basis. As senior members of the service team, through regular interactions with clients, individuals in this role build trusted relationships. Leading with a client first mindset, a successful candidate for this role will have strong interpersonal skills and their focus will be on delivering an exceptional client experience. In supporting Financial Advisor(s) (FAs)/ Private Wealth Advisor(s) (PWAs)/ teams, this role will focus on assisting in areas such as digital marketing, portfolio holdings and/or proposal tools and financial planning. \n \n DUTIES and RESPONSIBILITIES: \n Client Service: \n As a senior member of the service team, provide coverage for an FA/PWA/team including: \n • Cultivating relationships with business partners and colleagues internally and externally \n • Supporting the FA/PWA/team in enhancing new and existing client relationships by providing an exceptional client experience \n • Assisting the FA/PWA/team in delivering against their client service model, including preparing for regular meetings as well as tracking follow-ups \n • Ensuring all client service functions are performed in a timely manner, assigning work to team members on a daily basis if/as needed \n • Providing backup coverage for traditional registered or unregistered Client Service Associate responsibilities at the request of the client and/or FA/PWA/team, such as executing money movement transactions, answering general non-investment related questions concerning clients accounts, educating or enrolling clients in digital tools (e.g., MS Online), accepting or entering unsolicited orders and/or entering solicited orders in a clerical capacity \n • Remaining current on all policies, procedures and new platforms and sharing reminders and best practices with other service team members \n \n Business Development Support: \n • Assisting the FA/PWA/team in organizing around and executing against their business plan, partnering closely with other market stakeholders such as Practice Strategy Consultants and Branch Management \n • At the direction of FA/PWA/team, executing against all administrative elements of digital and in person marketing strategies including conferences and seminars or webinars, websites, social media and regular email connectivity \n • At the request of the client and/or FA/PWA/team, preparing and reviewing various client reports or financial plans from firm-approved systems for existing or prospective clients \n • At the request of the client and/or FA/PWA/team, assisting with research using firm-approved systems \n • At the request of FA/PWA/team, participating in existing client and/or prospective client meetings, representing the service lens \n • Participating in firm initiatives (e.g., training or education programs), special projects and/or other duties directed by local management \n \n EDUCATION, EXPERIENCE, KNOWLEDGE and SKILLS: \n Education and/or Experience \n • 5+ years of work experience in a field relevant to the position required \n • Four-year college degree or professional certification preferred \n • Active Series 7 (GS), and Series 66 (AG/RA) or Series 63 (AG) and Series 65 (RA) required \n • Experience with trading and investment research \n \n Knowledge/Skills \n • Fluent in Spanish \n • Strong leadership skills \n • Knowledge of financial services products, including but not limited to equities, bonds, options, mutual funds, annuities, insurance, and managed accounts \n • Technically proficient and quick learner of new and updated platforms \n • Detail oriented with superior organizational skills and ability to prioritize \n • Expert knowledge of basic personal computer, MS Office (particularly MS Excel) and internet applications \n • Exceptional writing, interpersonal and client service skills \n • Strong time management skills \n • Team player with the ability to collaborate with others \n • Ability to work in a fast-paced, evolving environment \n • Adaptable and ability to multi-task \n • Goal oriented, self-motivated and results driven

Job Description About the Role The Case Aide performs various supportive activities for casework services in support of the needs of the Preventive Services programs. Duties may include “support activities” such as interviewing clients; collecting information or investigating situations to obtain information about family situations; directly assisting children and family members in various ways, i.e., providing transportation, home visits, accompanying parent to service providers, participating in and reporting observations and findings at case conferences. What You’ll Do • Work closely with the Case Planners to provide collateral services to individuals and families. Attend JHV with Case Planners and CPS at initiation of case., • To assist and/or model for our parents (caretakers) and children methods to achieve their service plan goals. To participate in supportive services such as recreation and educational programs which support behavioral goals for the children., • To carry out ongoing quarterly risk and safety assessments of the family and clearly document these assessments in Connections and in their progress notes. Bring all risk/safety concerns to the immediate attention of their supervisor., • To request all school and medical reports; document in Connections utilizing appropriate progress note template and file in case record. Place printed copies of all important documents in case files., • To assist the families in accessing in-house and community-based services to address issues that place a child at risk of foster care placement and promote maximum safety, supervision and support for children and their families. This includes but is not limited to accompanying parents to programs, other service providers, domestic violence shelters, and any concrete services that may be needed. Complete referral applications and gather all required support documentation., • To enter their progress notes in CONNX within 5 days of the occurrence utilizing progress note template. Submit hard copies of their progress notes in draft form on a weekly basis to their supervisor. Insert copies of all printed progress notes in case file and file in cabinets. Quality of progress notes must be informative, descriptive and purpose driven. To enter all casework contacts in PROMIS weekly., • To make required home visits including collateral caregiver homes where children are cared for during the month and collateral contacts, in order to meet ACS minimum contact mandates, as well as, requirements of the specific model assigned to. Always ensuring the safety of the children and family., • Assists with office clerical duties, including serving as petty cash manager, reconciling receipts, ordering supplies and distributing metro cards. Further duties include photocopying, filing documents in case records, processing letters and other mailings, serving as a receptionist - answering telephones and taking messages., • Assess if cases are appropriate for health home/GABI referral and begin that process., • Participate in mandatory once a week individual and unit supervision; attend all mandatory trainings, general staff meetings, as well as serve on committees as assigned. Submit weekly calendar of scheduled visits to their supervisor., • Check files for necessary updated documentation and assessments to ensure they are within the ACS, OCFS, and Rising Ground Standards., • Other duties as assigned. Your Qualifications Education & Experience • Bachelor’s degree strongly preferred plus a minimum of two years of prior experience as an Office Assistant; or High School Degree or GED equivalent also considered with prior experience in child welfare environment., • Must demonstrate strong organizational and computer skills including proficiency with Microsoft and Outlook, • Driver’s license a plus, • Bi-lingual (English and Spanish) a plus General Skills & Competencies • Minimum typing speed of 60 WPM., • Ability to carry out assignments with attention to accurateness, thoroughness and timeliness and with minimal supervision., • Must be open to traveling across the NYC area, • Demonstrated ability to relate positively to people from diverse backgrounds and lifestyles. Must be LGBTQ affirming., • Excellent interpersonal & customer service skills., • Must demonstrate strong organizational and computer skills including proficiency with Microsoft Office Suite including Word and Outlook., • Physical requirements include the ability to lift and reach for light objects; close visual acuity to prepare and analyze data, text, and figures; ability to type utilizing a computer keyboard; ability to travel to outside locations; and the ability to work at a computer for extended periods of time as a primary job function. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Supervisory Responsibility No Work Environment: Field/Corporate Office/Community Position Type/Expected Hours of Work: This is a full-time position. Days and hours of work are Monday through Friday , 35 hours a week, in our Bronx Hub at 500 Bergen Ave. in The Bronx. Work hours are 9:00 am - 5:00 pm. Additional Requirements: • Authorized to work in the U.S., • Ability to work in-person in New York City (NY) for at least 4 days or more per week., • Ability to travel to other Rising Ground sites (if required), • Ability to travel within the community for visits Benefits Offerings Includes: • 11 Paid Holidays, • Paid Sick Time, • Paid Vacation, • Paid Personal Days Benefits Offerings Includes: • Medical - 3 Plan Options, • Dental - 2 Plan Options, • Vision - 1 Plan Option Equal Employment Opportunity Statement It is the policy of Rising Ground that the Agency wholly complies with equal treatment of all employees and applicants for employment without unlawful discrimination as to an individual’s perceived or actual race, creed, color, national origin, alienate, citizenship status, gender, age, disability, marital status, partnership status, sexual orientation, ethnicity, religion, or veteran status in all employment decisions, including but not limited to recruitment, hiring, compensation, training and apprenticeship, promotion, upgrading, demotion, downgrading, transfer, layoff and termination and all other terms and conditions of employment.

Job Description About Us Sylvia Woods, the "Queen of Soul Food," was the founder and owner of the world famous Sylvia's Restaurant, located in the historical village of Harlem, since 1962. In 1944, Sylvia and her Husband Herbert, moved to Harlem NY, where she became a waitress at Johnson's luncheonette. After several years of dedicated service, Mr. Johnson recognized Sylvia's entrepreneurial spirit and sold her the luncheonette.The once small luncheonette which consisted of 15 stools and six booths, has now flourished into a family-owned enterprise which consists of: Sylvia's Restaurant in Harlem, Sylvia's Also, a full-service catering hall, Special Events Division, a nationwide line of Sylvia's Food Products, two deliciously amazing cookbooks, and ATOC, Inc., a real estate holding company. The world famous Sylvia's Restaurant is seeking enthusiastic Servers to join our team. Under the direction of our Managers and The Sylvia's Way Standards, the Server is responsible for serving our guests by providing excellent customer service, taking orders, delivering food, and answering any questions regarding the menu. All servers will work closely with other wait staff and the kitchen to ensure the restaurant is operated efficiently. Qualified candidates must: • Enthusiastically greet and welcome guests in a timing manner, • Have a great work ethic and commitment to uncompromising hospitality, • Ability to work positively in a fast-paced environment while maintaining excellent Hospitality, • Have knowledge of a POS system, • Have basic to intermediate English communication skills, • Maintain the restaurant with regards to cleanliness, neatness and customer accessibility, • Work as a team member to support other restaurant employees in their duties, • Perform other duties as assigned by General Manager or Assistant Manager, • Be able to stand and walk for extended periods of time and the ability to grasp, lift and/or carry up to 50 lbs as needed Job Types: Full-time, Part-time, Evenings, Weekends, Holidays Benefits: • Employee discount, • Flexible schedule, • Referral program, • Pre-tax medical plan, • Tax saving transportation, • Paid time off Physical Setting: • Bar, • Casual dining restaurant, • Fine dining restaurant Schedule: • Holidays, • Monday to Friday, • Weekend availability Experience: • Restaurant Experience: 1 year (Preferred) Work Location: • One location

Job Description Patient Care Associate Fresh Pond Physical Therapy - is looking for a warm, organized, and energetic Patient Care Associate to join our growing team! If you enjoy helping people, creating a welcoming environment, and keeping things running smoothly behind the scenes, this could be a great opportunity for you. As a Patient Care Associate, you’ll be one of the first faces our patients see and an important part of their overall experience at our clinic. You’ll work alongside an experienced clinical team in a supportive, fast-paced environment where you’ll have opportunities to learn new skills, grow professionally, and make a meaningful difference in patients’ experiences. What You’ll Do • Welcome patients with a friendly, professional attitude and provide exceptional service in person and over the phone, • Manage front desk operations, including scheduling appointments, patient check-in/check-out, and answering questions, • Enter and update patient information accurately in our EMR system, • Verify patient demographics and insurance information, • Collect co-pays and assist with basic administrative and reporting tasks, • Answer calls from patients and insurance companies with professionalism and excellent customer service, • Help patients navigate their visits and attend to their needs throughout their time at the clinic, • Assist with inventory, supply organization, and keeping the clinic organized, • Help maintain a clean and welcoming environment, including sanitizing treatment tables and assisting with laundry, • Protect patient privacy and follow HIPAA requirements and clinic policies, • Support the clinical team with day-to-day administrative needs What We’re Looking For We’re looking for someone who is friendly, dependable, compassionate, and eager to learn. The ideal candidate will have: • Previous medical office or healthcare experience preferred, • Customer service experience strongly preferred, • Full-time availability preferred, • Experience with EMR systems is a plus, • Strong computer skills and familiarity with Google Workspace or similar systems, • Excellent communication and interpersonal skills, • Strong organizational skills and attention to detail, • Ability to multitask and stay organized in a busy clinical environment, • A professional, positive, and team-oriented attitude, • Strong problem-solving skills, • High school diploma or GED Most importantly, we’re looking for someone who genuinely enjoys working with people and wants to be part of a collaborative team. Why Join Fresh Pond Physical Therapy? We believe our team members should have the opportunity to learn, grow, and enjoy coming to work. We offer: • $18–$19/hour, based on experience and qualifications, • 401(k) plan, • Paid Time Off, • Great work-life balance, • Flexible scheduling, • Medical and disability insurance options, subject to the company’s plan, • Professional development opportunities, • Opportunities for leadership and career growth, • A supportive and experienced clinical team, • A patient-focused environment where your work truly matters Ready to Join Our Team? If you’re personable, organized, energetic, and excited about making a difference in patients’ experiences, we’d love to hear from you! Apply today to join Fresh Pond Physical Therapy and grow with our team.

Job DescriptionDescription: Job Summary Guides guests to appropriate table as directed by the maître d’. Interacts with the restaurant guests, fellow employees, and supervisors in a polite, courteous and hospitable manner to ensure gracious hospitality. Job Activities • Maintain professional appearance standards as directed in the Company Employee Handbook., • Anticipates and accommodates needs of the guest., • Maintains the general cleanliness and orderliness of the entrance area., • Complies with Department of Health and company sanitation standards., • Actively takes and processes reservations for guests., • Assists with incoming calls and answering questions from guests., • Responsible for checking guests’ coats and other belongings (where applicable)., • Assists with setting up front desk area, performs side-work and other opening/closing procedures as directed by management, including:, • Ensures that all appropriate menus are printed and ready for service., • Responsbile for making sure all menu books are organized with current menus., • Collects menus throughout venue during shift., • Performs opening side-work as prescribed., • Performs closing side-work as prescribed., • Reports all breakage, damage of equipment or furniture immediately to management., • Attends and participates in daily pre-service meetings., • Participates in any training sessions or departmental meetings., • Learn by listening, observing other team members and sharing knowledge while leading by example., • Portrays a positive and professional attitude., • Demonstrates knowledge of Company, its partners and supporting hotel environments., • Works as part of a team and provides help and support to all fellow team members. Requirements: Education, Experience and Skill Requirements • Company in-venue host training., • Previous hospitality experience., • Previous host experience., • Experience in a high-volume restaurant/nightclub/lounge., • Must be able to stand, lift and bend for extended periods of time., • Must be able to bend and lift to 50 lbs., • Role may include job duties or tasks requiring repetitive motion., • Exposure to hot kitchen elements or cleaning materials., • Must be able to work and remain focused in a fast-paced and ever-changing environment., • Ability to work a flexible schedule inclusive of varying shifts such as days, evenings, weekends and holidays.

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

Job Description Hospitality Host – The Rink at Rockefeller Center 2026–27 Season | October–Early Spring Overview SPS is seeking energetic, outgoing, and service-driven individuals to join The Rink at Rockefeller Center. As a Hospitality Host, you will represent one of New York City's most iconic destinations and help create welcoming, seamless, and memorable guest experiences. This cross-functional role includes hospitality, ticketing, retail, access control, skate rentals, wayfinding, basic camera operations, and general rink operations. Team members will welcome visitors from around the world, provide information about The Rink and Rockefeller Center, anticipate guest needs, and remain calm and professional in a fast-paced, high-volume environment. The Rink is a seasonal cold-weather operation that runs rain or shine throughout the demanding winter. Candidates must be comfortable working outdoors in cold temperatures and changing weather conditions, including rain, snow, and wind. A portion of each shift may take place outside; an insulated winter jacket and vest will be provided. Schedules may include early mornings, daytime hours, evenings, late nights, weekends, holidays, and other high-volume periods. Weekend and holiday availability is required, with dependable morning and late-night availability strongly preferred. Summary of Position Hospitality Hosts deliver exceptional service throughout each guest's visit by welcoming guests, processing ticket and retail transactions, supporting access control, assisting with skate rentals, providing wayfinding, directing guest flow, monitoring locker rooms, answering questions, and maintaining a polished environment. Above all, Hospitality Hosts set the tone of the visit: warm, genuine, and attentive service is the expectation in every interaction, whether a guest is buying a ticket, fitting a rental skate, or asking for directions. Team members may be assigned to different positions throughout The Rink based on operational needs, and all staff may be asked to fill in at any other position as needed. Team members should be willing and able to assist in those areas when requested; training is provided. Primary Responsibilities • Welcome guests and create a positive first impression of The Rink and Rockefeller Center., • Provide knowledgeable wayfinding assistance and answer questions about The Rink, Rockefeller Center, nearby attractions, amenities, and seasonal offerings., • Process ticket and retail transactions at the Skate House Box Office and Retail Shop using a touchscreen or mobile POS system., • Follow all transaction procedures accurately., • Check and scan guest tickets, issue appropriate credentials, and communicate relevant session information., • Handle rental skate duties, including exchanges, guest education, cleaning, sanitizing, and proper storage., • Direct guest traffic, assist with crowd management, and maintain efficient pedestrian flow., • Operate point-and-shoot cameras and support basic photo capture operations., • Instruct guests on proper locker usage and etiquette., • Address guest questions and concerns in a calm, professional manner., • Occasionally support general maintenance and snow removal during snow events., • Uphold The Rink's guest-service, operating, and safety standards., • Encourage guests to explore other attractions and experiences within Rockefeller Center., • Perform other duties that support rink operations. Requirements • Ability to communicate effectively in English, both verbally and in writing., • Previous experience in retail, customer service, hospitality, events, or a skating rink is preferred but not required., • Strong communication, organization, problem-solving, and time-management skills., • Ability to provide warm, professional service and address guest needs in a high-volume environment., • Ability to direct and assist large groups of people with confidence., • Ability to work calmly and professionally in a fast-paced environment., • Consistent attendance and punctuality are essential functions of this role; team members are expected to arrive on time, in uniform, and ready for every assigned shift., • Willingness and ability to fill in at any other position at The Rink as needed, and to assist in other areas when requested. Training is provided., • Weekend, holiday, early morning, and late-night availability is required., • Comfort working outdoors in cold temperatures, rain, snow, wind, and changing winter conditions., • Ability to sit, stand, walk, bend, kneel, reach, lift, stoop, push, pull, and carry throughout a shift., • Must be able to lift 15 pounds on a regular and continuing basis., • Must follow uniform, grooming, hygiene, and appearance guidelines., • Must follow all policies and procedures implemented by SPS and Tishman Speyer. Compensation: The expected compensation is an estimate, and the final offer will depend on skills, experience, location, and other job-related factors. Vacancy Status: This posting is for an existing vacancy. Pay Range $18—$21 USD WHAT WE OFFER • Career Growth: An opportunity to enter a job that allows you to learn new skills or use a variety of them that may lead you to uncover other career opportunities., • Learning & Development: At SPS, we promote a work culture of learning so that you can develop to be the best at what you do., • We Recognize Talent: We offer a variety of recognition programs for all levels of employees., • Paid Time Off: Full time: Minimum of 80 hours/calendar year. Part time/temporary: Minimum of 1 hour for every 30 hours worked. PTO amounts may increase based on tenure and/or the assigned account. PTO allows employees to take approved time off for any reason., • Bonuses: Are available for employee and client referrals for current employees., • Benefit Offerings: Medical, Dental, Vision, HCFSA, DCFSA, HSA, Commuter Transit and Parking Pre-Tax Plans, Supplemental Life Insurance, Accident Insurance, Critical Illness, Hospital Indemnity, Legal Program, Identify Theft Protection, Pet Discounts, Pet Insurance, Group Home and Auto Insurance, EAP, Short Term Disability, Life Insurance, Education Discounts, 401k w/ matching, and Entertainment Discounts., • Note: Please inquire with the Human Resources team for benefit offerings per role as regular positions that routinely are under 30 hours/week may have a different benefit offering. About SPS SPS is a global workplace solutions and business transformation company operating in more than 20 countries. Across North America, we help clients enhance workplace experiences and business operations through services including workplace support, physical and digital mailroom solutions, intelligent document processing, reception and concierge services, and other business support offerings. Our clients include leading organizations across banking, insurance, legal, higher education, professional services, and many Fortune 500 companies. At SPS we embrace the uniqueness of our employees and are committed to the fair and equal treatment of all people, applicants, and employees by promoting a culture of access, inclusion, equity and diversity. SPS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual and reproductive health choices, national origin, age, disability, genetics, military status, gender identity or expression, sexual orientation and/or any other status protected by applicable law. Colorado only: We accept applications for an expected minimum of 5 days from the date it is posted. The posting may remain open longer as needed to ensure a robust and inclusive applicant pool. To ensure a fair and authentic interview process, applicants may not use AI tools or any other form of real-time assistance during interviews. SPS team members may use transcription or note-taking technology solely to support accurate interview documentation. No AI or automated decision-making tools are used to screen, assess, or select candidates for this role. SPS uses the Greenhouse Applicant Tracking System to facilitate application management and recruiting workflows. Human recruiters and hiring managers review applications and exercise independent judgment throughout the hiring process SPS offers reasonable accommodations in the hiring and employment process for individuals with disabilities. If you need assistance in the application or hiring process to accommodate a disability, you may request an accommodation at any time. To view our privac

Job DescriptionA new generation diner that delivers a great tasting, fresh food dining experience is only part of what you'll experience the next time you visit Crosstown in the Bronx. From the moment you pass through our doors, a century of family tradition and 50-years of delivering a fresh food dining experience embraces you. From our family olive groves in Vellies, Greece to the finest organic honey found any where in the world; for a century our family has been producing some of the purest and most delicious food ingredients in the world. Our cause comes from this cherished family legacy and drives us here at Crosstown with every meal and customer we serve. JOB BRIEF: We are looking for a skilled Waiter or Waitress to take orders and deliver food and beverages to our customers. The right Waiter/Waitress uplifts the dining experience for customers. We are looking for someone who will have the patience, personality and perseverance to thrive in this role. Server responsibilities include greeting and serving customers, providing detailed information on menus, multi-tasking various front-of-the-house duties and collecting the bill. To be a successful Waiter or Waitress, you should be polite with our customers and make sure they enjoy their meals. You should also be a team player and be able to effectively communicate with our Kitchen Staff to make sure orders are accurate and delivered promptly. Keep in mind that Server duties may require working in shifts and/or occasionally during weekends and holidays. Ultimately, it is the duty of our Servers to provide an excellent overall dining experience for our guests. If you are able to perform well in fast-paced environments, we’d like to meet you. RESPONSIBILITIES: • DINER EXPERIENCE REQUIRED, • Providing excellent wait service to ensure satisfaction., • Taking customer orders and delivering food and beverages., • Making menu recommendations, answering questions and sharing additional information with restaurant patrons., • Greet and escort customers to their tables., • Present menu and provide detailed information when asked (e.g. about portions, ingredients or potential food allergies)., • Prepare tables by setting up linens, silverware and glasses., • Inform customers about the day’s specials., • Offer menu recommendations upon request., • Up-sell additional products when appropriate., • Take accurate food and drinks orders, using a POS ordering software, order slips or by memorization., • Check customers’ IDs to ensure they meet minimum age requirements for consumption of alcoholic beverages., • Communicate order details to the Kitchen Staff., • Serve food and drink orders., • Check dishes and kitchenware for cleanliness and presentation and report any problems., • Arrange table settings and maintain a tidy dining area., • Deliver checks and collect bill payments., • Carry dirty plates, glasses and silverware to kitchen for cleaning., • Meet with restaurant staff to review daily specials, changes on the menu and service specifications for reservations (e.g. parties)., • Follow all relevant health department regulations., • Provide excellent customer service to guests., • Follow all food safety procedures., • Courteous, professional demeanor and a team player. REQUIREMENTS: • Proven work experience as a Server., • Hands-on experience with cash register and ordering information system., • Basic math skills., • Attentiveness and patience for customers., • Excellent presentation skills., • Strong organizational and multitasking skills, with the ability to perform well in a fast-paced environment., • Active listening and effective communication skills., • Team spirit., • Flexibility to work in shifts., • High school diploma; food safety training is a plus.

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

Job DescriptionWe are seeking an experienced and skilled Automotive "A" Technician/Foreman to join our team. As an Automotive Technician, you will be responsible for diagnosing, repairing, and maintaining various types of vehicles. If you have a passion for automotive technology and enjoy working in a fast-paced environment, we want to hear from you. Flat rate pay upon qualifications Duties: • Diagnose and repair vehicle issues, such as engine problems, electrical malfunctions, and transmission failures, • Conduct thorough inspections of vehicles to identify any potential issues or safety concerns, • Use diagnostic tools and equipment to accurately diagnose and troubleshoot vehicle problems, • Complete repairs efficiently and effectively, ensuring high-quality workmanship, • Keep accurate records of all repairs and maintenance performed on vehicles, • Provide excellent customer service by addressing customer concerns and answering any questions they may have, • Stay up-to-date with the latest automotive technology advancements and industry trends Requirements: • Proven experience as an Automotive Technician or similar role, • Strong knowledge of automotive systems, including engines, transmissions, brakes, and electrical systems, • Proficient in using diagnostic tools and equipment to identify vehicle problems, • Excellent problem-solving skills with the ability to diagnose complex issues, • Strong attention to detail and accuracy in performing repairs and maintenance tasks, • Ability to work independently with minimal supervision, • Excellent communication skills with the ability to explain technical concepts to non-technical individuals, • Valid driver's license with a clean driving record

Remote Sales Agent | PT or FT | Licensing Assistance Included Performance-Based | Daily Pay | Career Growth Opportunity Candidates Must Reside in the U.S. About the Company The Gibbons Group is dedicated to helping individuals and families protect what matters most through simplified issue life insurance solutions with valuable living benefits. We believe success starts with opportunity. Whether you're beginning a new career or looking for a flexible way to build your future, we provide the training, support, and resources to help motivated individuals develop professionally while making a meaningful impact in the lives of others. Position Overview We are seeking motivated individuals to join our team as Remote Sales Agents. This opportunity is ideal for those looking to start or grow a rewarding career in the life insurance industry while enjoying the flexibility of working remotely on a part-time or full-time basis. As a Remote Sales Agent, you will educate clients on life insurance solutions, help them choose coverage that fits their needs, and build lasting relationships through professional service. No prior insurance experience is required—we provide licensing assistance, comprehensive training, and ongoing mentorship to help you succeed. If you are driven, coachable, and excited to build a career with unlimited earning potential, this opportunity offers the tools, support, and flexibility to help you reach your goals. Key Responsibilities • Connect with individuals and families to understand their financial protection needs., • Educate clients on life insurance products, including simplified issue coverage with valuable living benefits., • Build strong, lasting client relationships through professional communication and exceptional service., • Guide clients through the application process while providing support and answering questions., • Follow up with prospective and existing clients to ensure a positive customer experience., • Participate in training, coaching, and professional development to build product knowledge and sales skills., • Utilize company-provided tools, systems, and resources to effectively manage daily activities., • Maintain professionalism while working independently in a remote environment., • Continuously develop your skills and contribute to personal and team success. Qualifications • Previous sales, customer service, or relationship-building experience is helpful but not required., • No prior insurance experience is necessary—licensing assistance, training, and ongoing support are provided., • Strong communication and interpersonal skills with a passion for helping others., • Self-motivated, coachable, and eager to learn in a performance-based environment., • Ability to work independently while effectively managing your time in a remote setting., • Positive attitude with a commitment to personal and professional growth., • Comfortable using technology and virtual communication tools. What We Offer • Licensing assistance to help you start your career in the life insurance industry., • Comprehensive training, mentorship, and ongoing professional development., • Flexible remote work with part-time or full-time opportunities., • Competitive commission structure with uncapped earning potential., • Performance-based incentives and opportunities for career advancement., • Access to industry-leading tools, systems, and resources designed to support your success., • A collaborative, team-oriented culture focused on growth, integrity, and helping others succeed. Compensation & Business Structure This is a 1099 Independent Contractor opportunity. • Compensation is 100% commission-based with uncapped earning potential., • Performance-based incentives are available based on individual production and results., • Whether you choose to work part-time or full-time, your income is directly tied to your effort, commitment, and personal goals., • Agents have the opportunity to build a rewarding career while enjoying the flexibility of managing their own schedule., • This opportunity offers the independence of self-employment with the support, training, and resources of an established organization. Our Core Values At The Gibbons Group, our core values guide how we serve our clients, support our agents, and build meaningful relationships. • Integrity: We believe in honesty, transparency, and always doing what is right for our clients, agents, and partners., • Growth: We are committed to continuous learning, personal development, and helping individuals reach their full potential., • Service: We are passionate about helping families find solutions that protect their financial future., • Respect: We value every individual and believe in creating an environment where people feel supported and appreciated., • Partnership: We believe success is built through teamwork, collaboration, and supporting one another. Why Join The Gibbons Group? At The Gibbons Group, we believe the right opportunity can create lasting personal and professional growth. We are committed to providing motivated individuals with the training, support, and resources needed to build a successful career in the life insurance industry. Whether you are looking for a new career path, a flexible opportunity, or the ability to grow professionally, this role provides the tools and guidance to help you move forward. If you are driven, coachable, and ready to take the next step toward a rewarding career while helping families protect their financial future, we would love the opportunity to connect with you.

Ready to step off the retail floor and learn how to actually run the campaign? Most entry-level customer service jobs want you to stay exactly where you start. We don't. We are looking for ambitious, open-minded individuals who are ready to transition out of dead-end shift work and build a real career in sales, event marketing, and business operations .We don't care about a corporate resume or "3–5 years of experience." If you have a background in hospitality, retail, or customer service, your ability to build immediate rapport means you already possess the foundation to thrive. We provide full paid training and daily mentorship, you just bring the work ethic and an optimistic attitude. The Mission: Ground-Floor to Management You will start on the front lines to master the fundamentals of customer acquisition, territory execution, and brand outreach. Top performers are fast-tracked into campaign management roles to help oversee our expanding territory operations • Live Event Execution: Be the driving force behind live events, retail activations, and pop-up campaigns throughout the NYC are, • High-Impact Representation: Act as the face of the brand for our premier telecom partners and leading national non-profits (including the ACLU, Care, ASDF, and Americares), • Consultative Engagement: Connect face-to-face with consumers, answering questions with transparency and positivity to help them make informed purchasing or donor decisions, • Scoreboard Mentality: Work alongside a competitive, high-energy team to hit daily and weekly campaign goals Who You Are • High Social Battery: You genuinely enjoy talking to people face-to-face and bring an infectious energy to the office every single morning, • Coachable: You have a true "student mentality." You leave your ego at the door and are eager to learn a proven event marketing system from scratch, • Solution-Oriented: You don't let a "No" slow you down. You view challenges as data points and keep your momentum moving forward, • Authorized to work in the U.S The Professional Deal • Financial Reward: A reliable Weekly Pay Structure consisting of a Base Pay + Uncapped Weekly Bonus Opportunities, • Hands-On Coaching: Daily mentorship and skill development covering sales psychology, public speaking, and territory management, • Upward Mobility: A strict promote-from-within philosophy. Your progression is tied directly to your effort and results, not politics or seniority, • Stability: True employment status with health benefits available after a qualifying period The Reality Check This is an active, in-person role across the NYC area. It requires daily movement, resilience, and high-volume social engagement. If you are looking for a remote desk job to fly under the radar, this is not a fit. If you are ready to work hard, learn the business, and earn your way into leadership, we want to hear from you Apply now. Interviews are being scheduled this week

Company Description LXD Logistics is a fast-growing receiving warehouse, delivery and logistics company. We provide white glove receiving, storage, delivery and installation services to consumers, businesses, manufacturers and interior designers. We are a 4 year old company with an excellent reputation and a history of satisfied customers. We are VERY detail oriented and obsessed with client satisfaction. Role Description This is a full-time on-site role located in Elizabeth, NJ. The responsibilities include answering inbound phone calls, returning missed calls, assisting customers with logistics of deliveries, providing customer quotes, answering a large volume of customer emails and ensuring customer satisfaction. This person will also have either direct or dotted line (based on experience level) responsibility for managing 4 or 5 remote contractors who support the business. The individual will use the technology systems to manage customers, orders and logistics. This individual will work closely with the owner and the director of operations on a daily basis to ensure that customer issues are quickly addresses and issues are escalated as appropriate. There is an opportunity for the right person to build and lead a team as the company continues to grow and expand its services. LXD Logistics moves and makes decisions quickly. If you're interested, don't wait. We will likely fill this role within 2 weeks. Qualifications • Proficiency in Customer Service, Customer Support, Operations Support and Customer Satisfaction, • Experience in improving Customer Experience and delivering exceptional service, • Excellent communication and interpersonal skills, • Strong problem-solving abilities and attention to detail, • Ability to work effectively in a fast-paced environment, • Experience using CRM software or customer service tools is a plus, • High school diploma or equivalent required; additional education or certifications are advantageous, • Dispatching or logistics support would be beneficial, • Bilingual+ is not required, but would be valuable

Location: Upper West Side, New York Must be available for overnight shifts on weekdays and/or weekends Concierge Job Summary: The Concierge will assist guests, patrons, tenants, management or employees with friendly customer service and knowledge of the building and building processes/systems. Ability to maintain high energy and positive focus interacting with both residents and visitors. Will be the main point of contact for all visitors and residents of the community. Duties/Responsibilities: • Develops and maintains exceptional customer service relationships to fulfill the needs of tenants, guests, management and/or employees., • Responsible for meeting, greeting and directing residents, guests and delivery vendors., • Must be able to follow instructions, directions and abide by building policies., • Answering calls and emails professionally in a timely manner and assisting callers/emails with directions, requests or instructions for the building., • Keeping the communal areas tidy and observing monitors for suspicious activities, be a friendly/safe presence on-site., • Monitor lobby traffic and alert residents to arriving guests and deliveries., • Monitor surveillance cameras surrounding both internal and external, • Log, make and keep track of all keys both concierge/building keys as well as key tracking systems for move-in/move outs., • Clean coffee machine daily and restock supplies, • Conduct rounds of building for opening/closing doors as specified on each shift., • Maintain logbooks for visitors and contractors., • Receives, stores, deliveries and keeps daily log and inventory of package system and packages in Building Link, • Maintain and update all areas of Building Link and Google sheets daily and as needed., • Performs other related duties as assigned and outlined in concierge handbook. Required Skills/Abilities: • Excellent verbal and written communication skills., • Being an active communicator who is customer focused and detail-oriented is a must to ensure the experience provided meets expectations., • Proficient experience with Building Link, outlook/Gmail, word (preferred), • Excellent problem-solving and critical thinking skills., • Must have a positive attitude with the ability to remain flexible and patient., • Flexible schedule to stay late/come in early as needed if shift members are running late/call out sick., • Excellent organizational and multitasking skills., • Excellent administrative skills. Education and Experience: • At least one year of exceptional hospitality skills working in the field of residential properties, retail, and hospitality or charity organization, • Previous Concierge or Front Desk experience is a plus, • Must read, write and speak the English language effectively Physical Requirements: • Prolonged periods sitting at a desk and working on a computer., • Must be able to lift up to 50 pounds when needed. Expectations: • In addition to completing the duties/responsibilities above, the expectation of the front desk concierge is to be alert and attentive to the building, its surroundings, and tenants/guests at all times., • Personal devices such as phones, tablets, laptops, etc. are not permitted to be used (except for emergencies or contact with management staff) during shifts. Use of personal devices will result in job accountability discussions and potentially job action., • Must look professional (black dress pants, plain dress shirts in white or black, black tie preferrable), • The ability to work flexible shifts including nights, weekends, and holidays is essential. Occasional double shifts if coverage is needed.

Job Title: Receptionist Location: New York, NY (5 days on-site) Compensation: $70,000-$90,000 + discretionary bonus & benefits Our client, a high-performing commercial real estate investment firm, is seeking a Receptionist / Office Coordinator to join its growing NYC office. This is a high-visibility, front-of-house role in a fast-paced, hard-working environment. You’ll be the first-person clients, investors, and candidates see when they enter the office, so polish, professionalism, and a white-glove service mentality are key. Responsibilities Manage the reception desk, including greeting guests, answering and directing incoming calls, and providing phone coverage • Coordinate conference rooms, catering, meetings, and office events, • Manage FedEx, mail, deliveries, office supplies, snacks, and inventory, • Keep conference rooms and common areas organized and presentation-ready, • Coordinate with facilities, IT, building management, and vendors, • Provide additional support to Executive Assistants and senior professionals Qualifications • 1–3 years of relevant experience, • Bachelor’s degree required, • Polished, professional, and service-oriented, • Highly organized and able to juggle multiple priorities at once, • Proactive, energetic, and willing to roll up your sleeves, • Strong Microsoft Office skills, • Comfortable in a high-energy, team-oriented environment

Do you have great reception or office assistant experience but want to be more in control of your time and when you work? We’re looking for temporary receptionists, both those who value temping as a standalone career and also those who are interested in contract-to-hire opportunities. ABOUT US At Joss Search, we specialize in recruiting business support professionals into the Private Equity and Alternative Investments sector. Our clients make up the world’s leading global private equity, alternative investment, and financial consultancy firms, and many of our clients are looking to expand their pool of temporary workers. THE ROLE Our clients are looking for temp receptionists/office coordinators/administrative assistants who are willing to jump into temporary assignments and hit the ground running! These roles range from a few days to a few months or even more than a year ongoing. This opportunity could mean regular work within the same company, getting to know the teams and systems well, and gaining a deeper understanding of the business and the people who work there. This is the perfect position if you are looking for some consistency of a full-time position but the flexibility that comes with a temporary role. Key responsibilities include but are not limited to: • Greeting guests, • Answering the phones and responding to emails, • Communicating with appropriate hosts and ensuring a seamless running of the office, • Managing the scheduling of conference rooms, • Inventory management of office supplies and snacks THE BENEFITS • Hourly rates between $25/hr - $35/hr based on experience, • Opportunities for short and long-term contract assignments, • Flexibility in creating your own schedule, • Paid training days, • Free breakfasts and lunches are included by many of our clients THE CANDIDATE • The ideal candidate will be personable, communicative, friendly, and have great customer service skills and experience., • Previous experience within a professional services firm and corporate setting, • Previous experience as a receptionist or administrator within financial services is preferred At Joss Search, we believe in finding the perfect candidates for our clients as well as the perfect clients for our candidates. If you like the sound of this fantastic opportunity and enjoy working in the heart of New York City, then apply now, we can’t wait to meet you! Joss Search is proud to be an Equal Opportunity Employer, passionately supporting and promoting equality, diversity and inclusion. We are committed to building an inclusive culture, respecting our individual differences, and bringing our community together.

Job Title: Retail Sales Ambassador Location: New York City Terms: FT Permanent – Onsite at the Mikimoto New York Flagship Boutique SUMMARY: Contributes actively to boutique sales, by providing remarkable service to all internal and external clients, supporting the management team and representing the Company brand and image. ESSENTIAL DUTIES AND RESPONSIBILITIES I. A BUSINESS DEVELOPER • Maximize sales and provide excellent customer and after-sales service, • Provide tailor-made advice, listening to clients’ expectations and answering requests. Excite clients with interesting and surprising suggestions of merchandise, • Highlight the Mikimoto heritage/best of the best and differentiation by maintaining a high level of product knowledge keeping relevant with market trends and competitors, • Manage and report all delicate situations regarding client complaints to the Sales Manager and/or the Boutique Director, • Follow all corporate and store policies and operational guidelines, • Follow all policies regarding the handling of merchandise, cash, credit card transactions, as well as safety and security measures, • Prepare appraisals as necessary for new and/or previously purchased merchandise, • Assist other sales associates during sales and in all other tasks as needed, • Accurately accept client’s pieces for repair in the approved manner; and accepts further responsibility to ensure any needed additional communication with the client be conveyed in a timely manner., • Actively develop new clients and consistently strengthen existing client relationships, • Create your client book and update customer database consistently, • Utilize the Mikimoto Clienteling App to consistently create new clients and develop relationships, through targeted and personalized outreach, • Build relationships with clients to encourage them to desire the products and the brand in the long-term, • Build a network of people who have an impact on local and international luxury business in order to promote customer loyalty (especially with High Potential – “HiPo”), • Demonstrate business ownership by identifying key clients to develop and proactively determine short and long term strategy and objectives for each, • Obtain relationship building data during each presentation, • Conduct follow-up communications and send approved correspondence after each interaction II. A TEAM PLAYER • Participate in maintaining a positive work environment, • Consistently provide the highest level of professionalism in all behaviors including communication and teamwork, • Work with all internal and external stakeholders, with a service-oriented, collaborative, available and versatile approach, • Contribute to back of house operations, like stock control and inventories, • Work well in a team and actively support and assist your colleagues, • Provide high quality relevant feedback and requested reporting to the Management team III. A BRAND PROMOTER (CLIENTS) • Promote the brand’s culture internally and externally, • Inspire customers by embodying the Mikimoto brand, • Present the Mikimoto brand, by giving details and inspirations on collections with a storytelling approach, when needed, • Stay informed and active socially by targeting key networking events to attend with the purpose of recruiting new clients, • Entertain clients outside of the boutique in order to strengthen existing relationships, • Ensure that the image of the Boutique is in line with corporate standards, • Maintain organization, grooming and appearance of all areas respecting the Visual Merchandising standard, • Guarantee excellent customer experience, • Ensure customer satisfaction, engagement and that the qualitative standards required by the brand are maintained, • Follow the guidelines provided by Corporate regarding the clienteling approach, including welcome and in-store services IV. A PROCESS SUPPORTER • Support Management with all boutique processes, compliance, and follow-up, • Adhere to and follow all Company Policies, • Receive, process, prepare and organize deliveries, transfers, and shipments, • Prepare store for opening and closing; set-up and breakdown merchandise displays daily, following proper merchandise handling and security procedures; ensure cleanliness of all display units and shelves, • Maintain both the back-office and sales floor in a pristine condition; counters, glass, carpet, merchandise display, replenishment, cleanliness, correct pricing and tagging, • Accurately completes the end-of-day documentation, reporting, filing and verification of funds, • Periodic Corporate Inventory; preparation, accurate physical counts and required procedures, • Update and maintain appraisal records as needed QUALIFICATIONS • Minimum 2 years of experience in luxury jewelry retail, with a preference for candidates who have experience selling high jewelry, • Sales driven, social, open and ambitious team player full of drive and optimism., • Excellent communication, interpersonal skills, good listening ability, and organizational skills, • Adaptability, Natural Curiosity, Authenticity, Open-minded and creativity driven, • Ability to multitask and handle the pressure of a busy day, • A friendly and helpful approach to our customers and colleagues., • Be open to feedback and communicate with your team and managers in a clear and straightforward way., • A willingness to learn and improve, • Product sensitivity and a strong market and fashion trends knowledge, • Digital savvy, with basic computer skills: Microsoft Office, • Ability to work standing up during all working hours, • Mandarin speaker preferred BENEFITS • Competitive Compensation Package including Salary, Company-paid Medical, Dental, Vision Benefits, Life Insurance, Short-term and Long-term Disability Insurance, • Offers 401(K) Savings Plan with Employer Match, • Paid Time Off, Paid Holidays, • Annual Gym Reimbursement, • Mikimoto Employee Discount, • Eligibility may vary based on level and tenure, subject to change

Who Are We: We are a company of film editors with a passion for storytelling who are committed to mentoring talent and establishing lasting relationships with directors and agencies worldwide. Cabin is an established post production home built on collaboration and dedication to the craft. About the Role: Seeking outgoing and hardworking people, looking to get their start in post-production. We are a high-end post production facility based in New York. Our goal is to create memorable experiences for our clients and our Client Services team helps give us our edge! We are currently looking for a Client Service team member with a high-energy personality and strong people skills to join the team. This role has tremendous growth opportunities for the right candidate looking to move into editing or producing down the line. No post production experience required, but if you do have an interest in the advertising/production/editorial field this would be a great opportunity! Qualifications: • Strong Client Services and Customer Service skills, with a focus on building trust and long-term relationships., • Excellent Communication skills, including clear written and verbal communication and active listening., • Comfort with basic Finance-related tasks such as credit card reconciliation and budgeting meals., • Previous experience in a creative, media, or post-production environment is highly beneficial, though not required., • Previous experience in a customer service environment (reception, food services, retail, etc.), • Strong organizational skills, attention to detail, and ability to manage multiple projects simultaneously., • Proficiency with standard office and collaboration tools (e.g., email, spreadsheets, project management software)., • Ability to work effectively with diverse teams and clients and maintain professionalism in a fast-paced setting. Job Roles/Duties: • Reception: Answering phones & greeting clients, • Office Management: Order meals for all staff and clients, maintaining cleanliness throughout entire office (bays, bathrooms, personal work spaces), creating weekly schedules for current projects, and weekly restocking of office supplies (groceries, cleaning supplies, bathroom products) • Event Planning: Assistance with planning for large scale events and high impact happy hours (100+ guests), • Finance & Accounting: Responsible for tracking daily and monthly expenses, in addition to coding and charging receipts to their respective job Job Type: Full-time Schedule: • Monday - Friday - Start time @ 9 AM - 10 AM, • Shifts vary depending upon edit sessions with clients, • Overtime, • Weekend availability Benefits: • Dental insurance, • Health insurance, • Vision insurance, • Paid time off

Position Title: North American Energy Analyst Department: Commodities Coverage Location: Denver, CO | New York, NY | Houston, TX (Hybrid/Onsite) Experience Level: Experienced Professional (5+ Years, Title commensurate with experience) Company Overview & Business Unit Summary: MNI provides real-time macroeconomic and financial intelligence delivered directly to the world's leading institutional trading desks, central banks, and investment firms. We are seeking experienced and enthusiastic analysts to join our North American commodities business. This is a rare, entrepreneurial opportunity to help spearhead our North American energy service. Backed by MNI's global infrastructure and a rapidly expanding client base—spanning upstream producers, major midstream operators, downstream refiners, commodity trading desks, global banks, and private equity (PE) firms— our analysts provide key insights across the physical and financial energy ecosystem. The Opportunity: As a North American Energy Analyst, you will be the definitive voice on North American crude oil and/or natural gas markets and their critical role within the global energy landscape. We are seeking an entrepreneurial self-starter who is genuinely enthusiastic and passionate about physical energy markets—someone who is naturally motivated to build a service because they are deeply fascinated by infrastructure, logistics, and supply/demand pricing mechanics. While you will operate with a high degree of independence over your day-to-day coverage, you will be part of a highly collaborative team dynamic. You will bridge the gap between complex fundamental modeling and high-velocity, real-time market intelligence. If you thrive on tracking physical molecules across infrastructure networks and analyzing underlying market balances, this role is built for you. Key Responsibilities: • Monitor, analyze, and report on real-time North American physical market developments, supply/demand balances, inventory movements, cash pricing and infrastructure constraints across either crude oil or natural gas/LNG., • Interpret physical pipeline operational data, maintenance schedules, regional production trends, export flows, and transportation bottlenecks to predict structural shifts in trade flows., • Build, maintain, and leverage supply/demand models to evaluate market balances, seasonal dynamics, and structural supply/demand shifts and translate those into real time updates., • Actively participate in internal team knowledge-sharing sessions, leveraging your physical energy expertise alongside our macro analysts to formulate cohesive market perspectives., • Instantly translate market anomalies, operational outages, force majeures, and fundamental data releases into concise, impactful commentary for our subscriber platform., • Engage directly with MNI's institutional client base, answering real-time questions about physical market dynamics and providing context on supply/demand shifts. Required Qualifications & Skills: • 5+ years of dedicated experience in energy market research, fundamental analysis, scheduling, or physical market planning with a deep specialization in either North American crude oil or natural gas markets., • Strong academic background: Minimum bachelor’s degree or equivalent. Higher level education (Masters degree) desirable., • Deep expertise in building and maintaining fundamental supply/demand models, with a strong practical understanding of how physical market mechanics—such as pipeline nominations, capacity constraints, cash pricing, and storage dynamics—directly shape those fundamentals., • A proven capability to quickly interpret unexpected physical market anomalies (e.g., infrastructure outages, pricing blowouts, flow disruptions) and translate them into immediate, logical conclusions for market participants coupled with a self-motivated work ethic., • Exceptional writing skills with a proven ability to lean on your deep industry experience to instantly distill complex physical market data, pipeline notices, and pricing points into sharp, clear, and actionable insights under tight, real-time deadlines., • A strong desire to work in an environment where shared expertise is critical; the ability to work highly independently while seamlessly collaborating with other experienced market professionals to drive optimal research conclusions. Why Join MNI? • You will have a major seat at the table in building out a premium commodities product, with high internal and external visibility., • Collaborate with and work alongside seasoned energy professionals who hold significant, deep-rooted experience in the oil and gas markets., • Direct, daily exposure to institutional clients across the entire energy value chain., • Our physical office is currently based in NYC but offers remote/hybrid working option. Compensation and Benefits • Competitive remuneration package., • This position is eligible for an annual discretionary bonus based on individual performance and company metrics., • MNI offers a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) retirement plan, paid time off (PTO), holiday pay, and flexible/remote work arrangements. MNI recognises the importance of work life balance. If this challenge appeals to you, please come talk to us. Send your CV to: recruiting@marketnews.com

Job Overview Minimum Qualifications • Education: Bachelor's degree or equivalent practical experience., • Experience: 2+ years of experience in contract management, deal desk, sales operations, ad operations, or customer/partner support., • Contract Knowledge: Proven experience reading and applying commercial contract terms and pricing (e.g., rate cards, discounts, fees, contract terms, renewals, and terminations)., • Issue Resolution: Demonstrated experience managing and resolving support cases or escalations for internal or external stakeholders., • Language Skills: Business-fluent written and spoken English. Key Responsibilities • Contract Processing: Prepare, review, and process standard and non-standard publisher agreements using internal contracting systems, routing them for required employee approvals., • Partner Support: Assist partner management teams with agreement requests by clarifying requirements, answering contract and procedural questions, and preparing documents for sign-off., • Pricing & Commercial Terms: Apply rate cards and commercial guidelines to contracts; prepare pricing and fee scenarios using standard tools and templates in collaboration with cross-functional teams for management review and approval., • Deal Support: Guide sales teams on standard deal structures by explaining approval thresholds, workflow processes, and discount mechanisms, while preparing deal requests for formal approval., • Case & Escalation Management: Manage and resolve inquiries and escalations from account managers regarding deals, contracts, and process workflows within established service level agreements (SLAs)., • Publisher Support: Investigate and address publisher contract inquiries submitted via support channels, providing clear, accurate responses for frontline support teams to share with partners., • Data Integrity & Tracking: Monitor the progress of cases, deals, and contracts; maintain accurate, audit-ready records (including legal entities, product lines, key dates, and terms) within tracking tools; and proactively flag potential timeline risks., • Cross-Functional Collaboration: Partner with cross-functional, operations, and vendor teams to resolve bottlenecks and ensure smooth execution; escalate complex legal inquiries to the Legal department with comprehensive context., • Process Improvement: Identify recurring operational friction points and recommend enhancements to document templates, workflows, and training/help resources. Preferred Qualifications • Industry Knowledge: Familiarity with major digital ad serving, monetization, or ad tech platforms (e.g., publisher ad servers, supply-side networks, mobile app monetization platforms)., • Systems Proficiency: Hands-on experience with CRM platforms, case management software, or enterprise deal/contract management systems., • Environment: Experience supporting high-velocity sales and partner management teams in a fast-paced environment., • Analytical Skills: Comfortable utilizing spreadsheets, reports, and operational dashboards to track metrics and retrieve information efficiently.

Title: Shopper Insights Manager Location: New York, New York (in office Tues-Thurs) Compensation: $130-150k + bonus Contact: Lindsey Bartlett – lbartlett@smithhanley.com This is one of those roles that is way bigger than the title suggests. I’m partnering with an iconic consumer brand that is building out its Category & Shopper Insights capability, and they’re looking for someone who wants more than a job pulling syndicated data and producing the same report every month. This person will have the opportunity to help shape how an organization uses data and insights to make decisions. You’ll sit at the intersection of category, shopper, analytics and commercial strategy, working across Sales, Marketing, Finance, Innovation and Supply Chain to answer the questions that actually matter: What’s happening? Why is it happening? Where is the opportunity? And what should we do about it? The company has the data. They’re looking for someone who knows how to turn it into a story, a recommendation and ultimately action. What You’ll Do: • Dig into syndicated, panel and POS data to uncover what’s driving brand, category and customer performance, • Work hands-on with platforms like Circana, Numerator, Scintilla/Walmart and Nielsen, • Analyze pricing, promotion, assortment, distribution, shopper behavior, new item performance and competitive activity, • Turn complicated datasets into clear, commercially relevant stories and recommendations, • Partner with Sales and Marketing on customer-specific category reviews, business plans, line reviews and selling stories, • Identify white-space opportunities and provide the analytical foundation for innovation and growth decisions, • Build dashboards, scorecards and self-service tools that make insights more accessible across the organization, • Help colleagues become smarter consumers of data rather than simply answering every ad-hoc request, • Experiment with AI, automation and emerging analytics tools to find smarter and faster ways to get to insight, • Help build the playbook for a growing Category & Shopper Insights function rather than simply inheriting someone else’s way of doing things This role is intentionally hands-on. This isn’t a position where you hand the analysis to someone else and wait for the PowerPoint. You’ll get into the data, figure out what’s really happening, develop the story and help the business decide what to do next. Who We’re Looking For You probably have around 5–8 years of experience across category management, shopper insights, commercial analytics, CPG insights or a similar function. More importantly, you know how to think with data, not just pull it. You’ll likely bring: • Strong hands-on experience with syndicated/POS data such as Circana, Numerator, Scintilla or Nielsen, • A strong understanding of CPG and the retail environment, • Experience digging into the drivers behind performance, not simply reporting that something went up or down, • Strong commercial instincts and the ability to connect insights to growth, margin and business decisions, • Experience with Power BI, Tableau or similar visualization tools, • Advanced Excel skills, • The ability to turn a messy analytical problem into a clear, compelling story, • Confidence communicating your thinking to both analytical and non-analytical audiences, • Curiosity around AI, automation and how emerging tools can make an insights function better, • Bonus points for experience with pricing/promotion analytics, retailer-facing work, automated reporting or mentoring junior analysts. Why This One Is Interesting You’re not walking into a giant, mature insights machine where your piece of the puzzle has already been decided for you. You’re joining a newly formed function with the opportunity to help define how insights are used across the organization. You’ll have visibility. You’ll have autonomy. You’ll work across the business. You’ll get to experiment with new tools and AI. And you’ll actually be able to see your recommendations translate into real decisions. For someone who likes being both the analytical brain AND the person in the room explaining what it all means, this could be a really fun next move.

Payroll Manager New York Law School (NYLS), located in the heart of Tribeca, seeks a Payroll Manager to oversee the daily operations of the payroll area within the Accounting Department. This role is responsible for the complete preparation and transmittal of multiple payrolls via our third-party payroll provider, maintaining payroll records, and serving as a key point of contact for employee payroll inquiries. Reporting directly to the Associate Controller, the Payroll Manager will also assist with broader accounting operations and department initiatives. Responsibilities: Payroll & Operations Management • Prepare and transmit multi-frequency payrolls through the third-party payroll provider., • Update payroll files with tax changes, personnel updates, voluntary deductions, and new hires; accurately process and calculate a high volume of timecards and timesheets., • Manage student and support timesheets, timecard distribution, and paycheck distributions., • Oversee payroll record maintenance, annual file setups, archiving post-audit files, and the preparation, approval, and distribution of W-2s., • Report on DC37 Union dues and manage related compliance tasks. Accounting & Compliance • Prepare and post payroll labor distribution entries to the general ledger., • Collaborate directly with the payroll vendor to resolve payroll processing and payroll tax issues., • Assist external auditors by preparing required schedules, answering inquiries, and fulfilling year-end audit requests., • Assist with IRS Form 990 tax filings., • Serve as an operational back-up for Accounts Payable and assist with general day-to-day accounting department operations and special projects as assigned Requirements • Bachelor’s degree in Accounting preferred., • Minimum of seven years of hands-on payroll processing experience., • Prior supervisory experience is required, • Experience in higher education accounting is a plus., • Proficient with Banner or similar financial information system (required)., • Strong working knowledge of payroll tax codes and regulations., • Advanced proficiency in Microsoft Office (Word and Excel required)., • Strong technical accounting, analytical, and problem-solving abilities., • Excellent interpersonal skills, strong customer service orientation, and close attention to detail., • Must be able to work independently with minimal supervision and solve complex tasks. Compensation: This position offers an annual salary range of $100,000 to $115,000. Compensation includes a competitive benefits package. To Apply: Please send a résumé and cover letter, including salary requirements, to Kitty Montanez, Associate Director of Human Resources, at jobs@nyls.edu. About New York Law School Founded in 1891, New York Law School (NYLS) is an independent law school located in Tribeca, the heart of New York City’s legal, government, financial, and emerging tech centers. Known as “New York’s law school,” NYLS embraces the city as its classroom by complementing a rigorous legal education with an innovative and diverse set of “uniquely New York” experiential learning opportunities. Since opening its doors, NYLS has produced graduates who have gone on to hold highly elected and appointed offices in the city, lead large and small firms, and gain broad recognition as captains of business and industry. Its renowned faculty of prolific scholars has built the School’s strength in key areas of the law, including business and financial services, intellectual property and privacy, and government and public interest law. NYLS has more than 20,000 graduates and currently enrolls around 1,100 students in its full-time and part-time J.D. programs. The School also offers an advanced-degree program in Tax Law. New York Law School is an Equal Opportunity Employer All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national or ethnic origin, age, disability, or veteran status, or any other characteristic protected by law.

Title: Customer Support Location: Sam's Club Hearing Centres across US The updated description now emphasizes that the role is a retail customer service position at a hearing center located inside a retail store in Avondale, Arizona The posting highlights responsibilities including: • Welcoming and engaging with customers, • Creating awareness about available hearing services, • Scheduling appointments with hearing specialists, • Answering basic customer questions, • Maintaining accurate customer and appointment information, • Following up with customers regarding appointments, • Supporting customer service and administrative activities The posting also highlights: • Competitive pay of $17–$19 per hour, • Paid training, • Health insurance, • Career advancement opportunities, • Supportive and customer-focused work environment, • Opportunity to make a meaningful difference in people's lives

Our client is an international bank in Midtown Manhattan. They are looking for a Personal Assistant/Front Office Receptionist to join their team on a long-term contract. Fluency in Spanish is required. We are seeking a proactive, personable, and highly organized Personal Assistant Reception & People Support to provide administrative support to managers and employees while serving as a welcoming and professional point of contact for the office. This is a highly visible, people-facing role that combines reception, administrative coordination, and day-to-day support for managers and employees. The ideal candidate enjoys working with people, takes pride in creating a positive experience for others, and is comfortable interacting with a broad range of stakeholders, including employees, senior leaders, clients, visitors, vendors, and external partners. The successful candidate will be approachable, service-oriented, organized, and proactive, with the ability to anticipate needs and help ensure that both the office and the teams they support operate smoothly. Key Responsibilities • Serve as a primary point of contact at the office, welcoming employees, clients, visitors, vendors, and external partners in a professional and friendly manner., • Manage day-to-day reception activities, including greeting visitors, coordinating guest access, answering or redirecting inquiries, and supporting meeting room logistics., • Provide administrative support to managers and employees, including calendar management, meeting coordination, scheduling, and logistical planning., • Coordinate internal and external meetings, ensuring meeting rooms, technology, catering, visitor access, and other requirements are arranged appropriately., • Support managers with calendar prioritization, meeting requests, follow-ups, and day-to-day administrative needs., • Assist employees with general office-related requests and help direct questions to the appropriate teams or resources., • Coordinate domestic and international travel arrangements using Concur, including flights, accommodations, transportation, and itineraries., • Track and manage expenses, assist with invoice processing, and maintain accurate administrative records., • Draft, edit, and format correspondence, presentations, reports, and other materials using Google Workspace., • Screen incoming calls, emails, visitors, and requests; respond or redirect as appropriate., • Coordinate with internal teams and external vendors to support the smooth day-today operation of the office., • Assist with onboarding logistics for new employees, including workplace orientation, access coordination, introductions, and general office support., • Support office meetings, employee activities, client visits, and occasional team events., • Maintain files, records, contact information, and documentation in an organized and confidential manner., • Provide backup and cross-coverage support for other administrative and office support colleagues when needed., • Proactively identify opportunities to improve the employee and visitor experience. Qualifications • 3 5+ years of experience in administrative support, reception, executive support, hospitality, office coordination, or a similar people-facing corporate role., • Excellent interpersonal and communication skills, with a genuine interest in working with and helping people., • Professional and confident when interacting with employees, senior leaders, clients, visitors, and external stakeholders., • Strong customer-service and hospitality mindset., • Excellent organizational, time-management, and multitasking skills., • Ability to manage multiple requests and priorities while maintaining attention to detail., • Proficiency in Google Workspace (Gmail, Calendar, Docs, Sheets, Slides) required., • Experience using Concur or similar travel and expense management platforms., • Proactive, resourceful, and solution-oriented approach to work., • High level of discretion and professionalism when handling sensitive or confidential matters., • Ability to work collaboratively and build positive relationships across different teams and levels of the organization. Preferred • Fluent in Spanish and English (written and spoken)., • Experience working in financial services, banking, professional services, or a global corporate environment., • Previous experience in a reception, hospitality, workplace experience, or client-facing position., • Familiarity with internal collaboration tools such as WebEx, Google Meet, and similar platforms., • Experience supporting senior managers and interacting directly with clients and external stakeholders.

Job Profile: Whatnot Live Shopping Host — Fine Jewelry Company: Unique Designs Role Type: Full-time or part-time; flexible based on show schedule Location: Secaucus NJ Reports To: Whatnot Channel Lead / Live Commerce Manager Whatnot Live Shopping Host — Fine Diamond & Pearl Jewelry Unique Designs is launching on Whatnot, a live shopping marketplace, and we are looking for a confident, engaging, and trustworthy on-camera host to sell fine jewelry during live shopping shows. This role is ideal for someone who loves jewelry, enjoys connecting with customers, and can create excitement while maintaining accuracy, professionalism, and trust. The host will present and sell fine diamond jewelry featuring natural and lab-grown diamonds, as well as pearl jewelry, across multiple price points and product categories. The right candidate will be part salesperson, part educator, part entertainer, and part brand ambassador. You should be comfortable speaking live on camera, explaining product details clearly, responding to questions in real time, and helping buyers feel confident about their purchases. Prior Whatnot experience is a plus, but we are also open to candidates with strong backgrounds in jewelry sales, luxury retail, live selling, clienteling, hosting, content creation, or on-camera presentation. Key Responsibilities Live Selling & On-Camera Hosting • Host live Whatnot shows featuring fine diamond jewelry, lab-grown diamond jewelry, natural diamond jewelry, and pearl jewelry., • Present jewelry clearly, confidently, and accurately during live broadcasts., • Create an engaging, upbeat, and trustworthy shopping experience., • Explain product features, benefits, styling options, and value points., • Sell across multiple price points, from accessible everyday pieces to higher-value fine jewelry., • Build excitement and urgency while maintaining a professional luxury brand tone., • Answer buyer questions in real time during the show., • Keep the show moving while giving each product the right level of attention., • Work closely with the show operator to manage product flow, auctions, giveaways, and buyer engagement. Product Presentation & Jewelry Storytelling • Present rings, earrings, bracelets, necklaces, pendants, pearl strands, diamond studs, tennis bracelets, fashion jewelry, bridal styles, and other fine jewelry categories., • Explain jewelry details such as metal type, diamond type, diamond shape, carat weight, pearl type, pearl size, setting style, clasp type, and overall design., • Communicate the difference between natural diamonds and lab-grown diamonds accurately and clearly., • Highlight craftsmanship, wearability, gifting potential, styling ideas, and occasion-based uses., • Help customers understand product value without overstating or misrepresenting details., • Use storytelling to make each piece feel special, desirable, and easy to envision wearing or gifting. Buyer Engagement & Community Building • Welcome viewers, engage chat, and create a warm live shopping environment., • Build relationships with repeat buyers and new customers., • Encourage viewers to follow the account, bookmark shows, ask questions, and participate., • Create trust through transparency, professionalism, and product knowledge., • Adapt selling style based on audience response, product category, and price point., • Handle objections, hesitation, and comparison questions with confidence and care., • Maintain energy and professionalism throughout live shows. Sales Performance • Drive sales through strong product presentation and effective live selling techniques., • Help maximize revenue per show, sell-through rate, average order value, and repeat buyer activity., • Support themed shows, promotional events, product drops, and category-specific selling strategies., • Learn which styles, price points, and presentation methods perform best., • Participate in post-show reviews to improve future performance., • Work with the Whatnot Channel Lead to test selling formats, bundles, opening bids, and show pacing. Brand Representation & Trust • Represent Unique Designs with professionalism, warmth, and credibility., • Maintain a polished on-camera appearance appropriate for fine jewelry sales., • Use accurate language when describing jewelry, gemstones, metals, diamond type, pearl type, condition, size, and value., • Avoid exaggerated, misleading, or unsupported claims., • Follow company guidelines for product representation, pricing language, and customer communication., • Protect buyer confidence and the company’s reputation. Ideal Candidate The ideal candidate is a natural communicator who can sell fine jewelry live while making buyers feel informed, excited, and comfortable. You may be a strong fit if you have experience in: • Fine jewelry sales, • Luxury retail, • Diamond, bridal, pearl, or fashion jewelry sales, • Live shopping or livestream selling, • Whatnot, TikTok Live, Instagram Live, or similar platforms, • On-camera hosting or content creation, • Retail clienteling, • Trade shows, trunk shows, or in-person selling events, • Brand ambassador or product demonstration roles, • Commission-based sales environments Prior jewelry experience is strongly preferred. Prior Whatnot experience is helpful, but not required if you are a strong live seller and willing to learn the platform. Required Skills • Strong on-camera presence, • Excellent verbal communication skills, • Comfortable selling live in real time, • Warm, energetic, and engaging personality, • Ability to explain products clearly and accurately, • Strong sales instincts, • Comfortable discussing different price points, • Ability to build trust quickly with buyers, • Professional appearance and presentation, • Strong attention to product details, • Calm and confident under pressure, • Able to multitask while speaking live, • Comfortable answering buyer questions in chat, • Reliable, punctual, and prepared for scheduled shows, • Willingness to work some evenings or weekends based on show schedule Preferred Skills • Fine jewelry sales experience, • Diamond jewelry knowledge, • Pearl jewelry knowledge, • Familiarity with natural diamonds and lab-grown diamonds, • Understanding of basic jewelry terms, including carat weight, cut, color, clarity, metal type, setting style, and pearl sizing, • Experience selling engagement rings, diamond studs, tennis bracelets, pendants, necklaces, earrings, bracelets, or pearl strands, • Experience with luxury customer service or clienteling, • Prior Whatnot selling experience, • Experience using TikTok Live, Instagram Live, YouTube Live, or other livestream platforms, • Comfort creating short-form social media content, • Ability to model or demonstrate jewelry on camera, • Bilingual ability is a plus Jewelry Categories You May Present The host may sell across a wide range of fine jewelry categories, including: • Natural diamond jewelry, • Lab-grown diamond jewelry, • Pearl jewelry Success Metrics Success in this role will be measured by: • Sales per show, • Revenue per live hour, • Sell-through rate, • Average order value, • Viewer engagement, • Chat participation, • Follower growth, • Repeat buyer activity, • Product presentation quality, • Accuracy of product descriptions, • Buyer trust and satisfaction, • Ability to maintain energy and professionalism throughout shows, • Feedback from buyers, management, and the support team Sample Day-to-Day Tasks • Review the product lineup before a live show., • Learn key talking points for each piece., • Prepare jewelry displays, try-on moments, and presentation flow., • Go live on Whatnot and welcome viewers into the show., • Present a pair of lab-grown diamond studs and explain the size, style, and value., • Compare natural diamond and lab-grown diamond options clearly and accurately., • Showcase pearl earrings or a pearl necklace with styling suggestions., • Respond to buyer questions about size, metal type, diamond details, pearl details, or gifting options., • Create urgency around featured items, auctions, or limited quantities., • Work with the operator to keep the show organized and moving., • Participate in a brief post-show review to discuss what sold well and what can improve. Compensation Compensation will be based on experience. Suggested structure: • Hourly base or salary ($18-25 per hour), • Optional performance bonus based on sales, show performance, repeat buyers, and customer satisfaction, • Potential commission or incentive structure for high-performing hosts How to Apply Please submit: • Your resume, • A short note explaining your experience with jewelry, luxury retail, live selling, or on-camera presentation, • Any links to relevant livestreams, social media content, sales videos, or product demonstrations, if available As part of the interview process, candidates may be asked to complete a short live or recorded product presentation using sample jewelry items. Bonus: Tell us about a piece of jewelry you love selling or talking about, and how you would present it to a live audience.

Belkin Burden Goldman, LLP, a premier New York City real estate law firm located near Grand Central Terminal, is seeking an experienced Legal Secretary to join our administrative support team. We are seeking a highly organized, detail-oriented professional with prior law firm experience who is comfortable supporting multiple attorneys and performing traditional legal secretarial and administrative responsibilities in a fast-paced environment. PLEASE NOTE BEFORE APPLYING: This is a traditional Legal Secretary position, not a Paralegal or Legal Assistant position. The role does not involve independently managing a caseload. Candidates should be interested in a legal administrative support role involving attorney support, document production, proofreading, calendaring, workflow coordination, and reception coverage. We are seeking candidates with demonstrated, sustained law firm experience and a genuine interest in continuing their career in legal secretarial and administrative support. Candidates should have at least three years of professional legal secretarial or legal administrative experience within a law firm setting. ESSENTIAL DUTIES AND RESPONSIBILITIES: • Provide comprehensive administrative and legal support to attorneys and practice groups., • Provide reception and front desk coverage, including answering and routing incoming calls, greeting clients and visitors, documenting messages, and ensuring prompt follow-up by the appropriate personnel., • Maintain consistent reception desk coverage and assist with general front-office operations., • Draft, revise, format, proofread, and finalize legal documents, correspondence, notices, agreements, and other legal materials., • Prepare and distribute documents through email, electronic filing systems, mail, messenger services, Federal Express, and other delivery methods., • Maintain attorney calendars, deadlines, appointments, and contact information as needed., • Organize and maintain electronic documents and correspondence within iManage and other document management systems., • Assist with document production, scanning, copying, collating, assembly, and distribution of legal materials., • Schedule conference rooms, assist with visitor management, and provide general administrative support., • Communicate professionally with attorneys, clients, courts, governmental agencies, vendors, and other outside parties., • Coordinate with other members of the administrative support team to maintain workflow and departmental coverage., • Adhere to Firm policies, procedures, confidentiality requirements, and document-management practices., • Perform additional administrative and legal support responsibilities as assigned. KNOWLEDGE, SKILLS AND ABILITIES REQUIRED: • 3+ years of legal secretarial, legal administrative, or comparable law firm support experience required., • Prior law firm experience supporting attorneys required., • Demonstrated experience supporting multiple attorneys and managing competing priorities simultaneously., • Advanced Microsoft Word skills, including document formatting, tracked changes, styles, automatic numbering, and document organization., • Strong proficiency in Microsoft Outlook and Adobe Acrobat., • Excellent proofreading, grammar, written communication, and organizational skills., • Exceptional attention to detail and accuracy., • Strong administrative, technical, organizational, and time-management skills., • Ability to manage multiple priorities and deadlines in a fast-paced environment., • Dependable, collaborative, responsive, and professional., • Ability to work full-time, on-site five days per week at the Firm's Midtown Manhattan office., • Willingness to provide reception/front desk coverage as a regular component of the position. PREFERRED QUALIFICATIONS: • New York real estate, landlord-tenant, litigation, leasing, financing, or development law firm experience., • Experience with iManage or a comparable document management system., • Familiarity with New York courts, governmental agencies, electronic filing procedures, or DHCR., • Experience preparing or editing Tables of Contents and Tables of Authorities., • Experience with document comparisons, redlines, blacklines, and tracked changes., • Experience hyperlinking exhibits and preparing electronic court filings., • Experience with DocuSign and electronic signature workflows., • Experience preparing and assembling filing or service packages., • Notary Public commission. SCHEDULE: This is a full-time, on-site position at our Midtown Manhattan office. The anticipated schedule is generally 9:30 a.m. to 5:30 p.m. or 10:00 a.m. to 6:00 p.m., depending upon departmental needs. COMPENSATION: $50,000-$70,000 annually Compensation will depend on several job-related factors, including relevant law firm experience, qualifications, education, and technical proficiency. Why BBG? Belkin Burden Goldman, LLP is one of New York City's leading real estate law firms, representing owners, developers, management companies, lenders, and other stakeholders throughout the industry. We pride ourselves on providing exceptional service to our clients while fostering a collaborative, supportive, and professional work environment. Our Benefits Include: • Competitive Compensation and Comprehensive Benefits, • Comprehensive Medical, Dental, and Vision Coverage with Firm Participation, • 401(k) Plan with Firm Match, • Pre-Tax Commuter Benefits, • Paid Time Off and Paid Holidays, • Summer Fridays, • Employee Referral Bonus Program, • Collaborative, Collegial Work Environment, • Convenient Midtown Manhattan Location Near Grand Central Terminal Benefits are subject to change based on Firm needs. Belkin Burden Goldman LLP is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, creed, color, religion, national origin, citizenship status, sex, pregnancy, reproductive health decisions, sexual orientation, gender identity or expression, age, disability, marital status, military status, veteran status, arrest or conviction record, credit history, caregiver status, domestic violence victim status, or any other characteristic protected by applicable federal, state, or local law. Compensation will depend on several factors, including, but not limited to, years of experience, qualifications, education, technical proficiency, and other job-related considerations. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. Applicants who require a reasonable accommodation during the recruiting or hiring process should notify the Firm so that appropriate arrangements may be made.

Job description: About Us Slater Slater Schulman LLP is a prominent full-service law firm with over 40 years of experience representing survivors of catastrophic and traumatic events. Our nationally renowned attorneys are committed to ensuring the best results for our clients through persistence and zealous representation. We have achieved successful resolutions in some of the most challenging cases in the industry, including 9/11 World Trade Center litigation, Child Victims Act, mass torts, pharmaceutical drug litigation, product liability litigation, environmental litigation, employment and labor law, medical malpractice, and personal injury. Position Overview We are seeking a Mail Clerk to perform various administrative and clerical tasks. Experience in an office or law firm environment preferred. Responsibilities: • Scanning documents, • Answering phones, • Processing mail, • Photocopying, • Filing, • Faxing, • General office duties Skills: • Computer knowledge-- Microsoft Word, Excel, internet, • Experience with FedEx, UPS, and/or Certified Mail preferred, • Previous law firm experience highly preferred, • Must be detail-oriented and able to multi-task, • Excellent communication skills Benefits: • 401(k) matching, • Dental insurance, • Health insurance, • Life insurance, • Vision insurance Work Location: In person