Computer programming jobs in Jersey City, New JerseyCreate job alerts

Are you passionate about applying AI and compilation techniques to automate legal contract processing at AWS scale? The AWS Contract Onboarding team is looking for a Software Development Engineer to build systems that parse, interpret, and ingest Private Pricing Agreements - enabling AWS to bill customers accurately and sign contracts faster. You'll work with LLMs, distributed event pipelines, and customer-facing consoles processing billions of dollars in AWS revenue. Key job responsibilities As a Software Development Engineer, you will own all aspects of the software development lifecycle - design, architecture, implementation, testing, and operations. Your team builds systems to capture contractual data from AWS Private Pricing Agreements in electronic format, enabling automated billing at global scale. In this role, you will… • Design and build contract parsing and term extraction pipelines using AI/LLM techniques., • Own and operate distributed systems processing confidential contractual data under demanding SLAs., • Build event-driven architectures using AWS services (Lambda, Step Functions, SQS, DynamoDB)., • Collaborate with Product Managers and partner engineering teams to define scope and technical direction., • Contribute to planning, design, implementation, testing, operations, and process improvement., • Write high-quality, testable code in Java, Kotlin, Python, and TypeScript., • Build highly available, secure systems at Amazon scale., • Mentor and support the growth of other developers. A day in the life On a typical day, you might design an LLM extraction pipeline for a new contract type, debug a distributed event processing issue, review a teammate's architecture for a customer-facing API, or deep-dive into billing data to validate that automated discounts are applied correctly. You'll collaborate across and ship features that directly impact how AWS customers are billed. We move fast, own what we build, and measure our impact in contracts automated per day. About the team The Contract Onboarding team builds tools and services to auto-generate and auto-ingest AWS Private Pricing Agreements. We enable the AWS Billing organization to sign contracts faster, compute bills accurately, and apply customized discounts - enhancing the experience for AWS's largest customers. Our systems combine AI/LLM-powered contract parsing, distributed event processing, and customer-facing consoles to automate what was previously a manual, error-prone process. • 5+ years of non-internship professional software development experience, • Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design, • Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence, • Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, • Bachelor's degree in computer science or equivalent, • Experience building complex software systems that have been successfully delivered to customers, • Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, • Experience designing, building, operating, and managing large-scale distributed systems or web services, • Experience building rich data-driven web applications by consuming RESTful services and APIs Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 158,100.00 - 213,800.00 USD annually

About the Team We pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs’ location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team’s breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it’s all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrock, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. Job Summary You will join a dynamic team working at the cutting edge of the GenAI revolution by applying AI to AI. You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key obstacles and opportunities to accelerate their migration to AWS's ML silicon. You will be a key contributor driving impact by building AI agents and tools that simplify AWS Neuron adoption, which is critical to AWS's Generative AI business. Key job responsibilities This role requires collaborating with other Neuron Software teams, Science, AWS AI Services, external partners and customers with a potential high impact on AWS's top and bottom line. As a member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical responsibilities: • Research implementations that deliver the best possible experiences for customers., • Deliver on goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron., • Solve challenging technical problems, often ones not solved before, at every layer of the stack, • Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security., • Build high-quality, highly available, always-on products., • Potentially contribute intellectual property through patents A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also: • Build high-impact solutions to deliver to our large customer base., • Participate in design discussions, code review, and communicate with internal and external stakeholders., • Work cross-functionally to help drive business decisions with your technical input. You will collaborate closely with a cross-functional team comprised of compiler, hardware, and ML engineers., • Work in a startup-like development environment, where you’re always working on the most important stuff., • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language, • Computer Science core: object-oriented design, data structures, and performance analysis with at least 2 programming languages., • Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math., • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • 2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms, • Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization, • Experience working with open-source software communities in the optimization space or related areas, • Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 158,100.00 - 213,800.00 USD annually

You will join a dynamic team working at the cutting edge of the GenAI revolution by applying AI to AI. You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key obstacles and opportunities to accelerate their migration to AWS's ML silicon. You will be a key contributor driving impact by building AI agents and tools that simplify Amazon Neuron adoption, which is critical to Amazon's Generative AI business. Key job responsibilities This role requires collaborating with other Neuron Software teams, Science, AWS AI Services, external partners and customers with a potential high impact on Amazon's top and bottom line. As a member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical responsibilities: • Research implementations that deliver the best possible experiences for customers., • Deliver on goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron., • Build and operate agentic evaluation frameworks, monitoring, and feedback loops that ensure the correctness, reliability, and continuous improvement of AI agents, • Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security., • Build high-quality, highly available, always-on products., • Potentially contribute intellectual property through patents About the team We pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs’ location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our Amazon customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team’s breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with Neuron, Inferentia and Trainium ML chips, in networking and security with products such as Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with Graviton and F1 EC2 instances. • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • 1+ years of software development engineer or related occupational experience, • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience, • 1+ years of Object Oriented Design experience, • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field, • Experience programming with at least one software programming language, • 3+ years of relevant, broad engineering experience., • Computer Science core: object-oriented design, data structures, and performance analysis with at least 2 programming languages., • Hands-on technical experience working in the Generative AI space, • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations., • Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math., • Passion for customer experience and usability, including successful delivery of customer self-service tools and automated management/optimization of services, and a strong services orientation, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent, • Bachelor's or Master's degree in computer science or equivalent, • 2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms, • Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization, • Experience working with open-source software communities in the optimization space or related areas, • Domain-level knowledge of AWS services, • Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 158,100.00 - 213,800.00 USD annually

Job Description HANDS ON ELECTRICAL TECHNICIAN. CAPABLE OF TROUBLESHOOTING AND WIRING MACHINES/ PLC PROGRAMMING IS A PLUS. MUST HAVE ELECTRICAL HANDS ON EXPERIENCE. MUST BE CAPABLE OF TROUBLESHOOTING AND WIRING MACHINES General Description: Develop and maintain facilities electrical infrastructure and equipment. Able to work safely and efficiently with high voltage equipment. Responsible for troubleshooting electrical problems throughout the plant. Supply power from Breaker Panel to equipment. Perform computer program modifications to existing PLC programs. Working knowledge of hydraulics helpful. Reports to: Maintenance Eng. Both English and Spanish speaking applicants will be considered. Responsibilities: • Maintain the electrical in the building and facility equipment., • Read and understand electrical schematics and blueprints, • Troubleshoot and wiring equipment, • Supervisor the Maintenance team Previous Experience: • Experience in A/C 120/208/470 Volts // EMT tube bend and rigid pipe, • Preferred Experience: Wiring electrical enclosures as per schematic given, • Preferred Experience: Computer programing of Allen Bradley PLC controllers Educational Qualifications: • Required: High School diploma, • Preferred: Electrical Technology or Engineering Degree, • Preferred: Electrical Certifications Company training will include • Company’s Quality Management System, • ISO 9001:2015 awareness Other Skills: • An ability to work well under pressure, • Teamwork and problem-solving skills, • Good verbal and written communication skills, • Efficiency and organization, • Able to speak Spanish helpful

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 \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 • \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 \n The Ideal Candidate: \n \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 \n Basic Qualifications: \n \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 \n Preferred Qualifications: \n \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 McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n Cambridge, MA: $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).

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 (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).

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

Job Description Educational Alliance brings together and partners with diverse communities in Lower Manhattan, offering individuals and families high-quality, multi-generational programs and services that enhance their well-being and socioeconomic opportunities. We are a place where everyone is welcome and where progress is powered one relationship at a time. We are proud of our legacy as a Jewish organization and we provide high-quality, transformational services and programs to all New Yorkers through our network of community centers on Manhattan’s Lower East Side and East Village. As we have for 130 years, we offer best-in-class programming–now across 15 sites—focusing on a mix of education, health and wellness, arts and culture, and civic engagement. The Center for Recovery and Wellness takes a holistic, strengths-based approach to recovery and wellness that responds to the distinct needs of each individual. Programs include residential and outpatient addiction treatment, recovery services, prevention education, and community programming. CRW offers culturally competent, evidence-based programs and services that strengthen individuals and communities, enhance resiliency, and foster lasting recovery. We are seeking a Youth Peer Mentor who will deliver youth-focused, culturally responsive, and trauma informed recovery services to ACS-involved youth and families. The YRM will focus on building rapport, assessing the youth’s stage of change, exploring change goals, and offering tailored interventions to promote motivation and readiness for change. RESPONSIBILITIES • Provide orientation to youth regarding the process of Project ENTER and build motivation for and facilitate access to SUD treatment/recovery services., • Engage youth around preventing an increase in use, staying motivated, and accessing youth development resources., • Explore potential change goals, offer tailored interventions to promote motivation and readiness for change, address barriers to care, and explore treatment and recovery options in the youth’s local community., • Assist youth to identify their goals and interests regarding recovery and develop strategies for achieving these goals., • Escort individuals to appointments with agencies, self-help groups, and other community resources as needed., • Identify and support linkages to community resources that support the recovering person’s goals and interests., • Promote self-advocacy by assisting youth to have their voices fully heard; their needs, goals, and objectives established as a focal point of rehabilitation and clinical services., • Conduct a session with the youth and their parent(s)/guardian to identify support needed to foster holistic recovery., • Promote and participate in outreach to inform community members about the Center’s services., • Connect youth (and families) to specialized educational and employment services as needed., • Make referrals for family members to the Center for prevention programming, peer, and family support., • Maintain information database pertaining to peer activities., • Accurately and efficiently document interactions with individuals in appropriate files and electronic databases., • Provide advocacy services to ACS and juvenile justice involved participants., • Facilitate meetings for family members., • Develop relationships with community groups/agencies., • Attend staff meetings, trainings, and other pertinent events as recommended by supervisors. QUALIFICATIONS • High School Diploma/GED required, • Must be 18 to 30 years old and identify as a person who has first-hand experience with social, emotional, medical, developmental, substance use, and/or behavioral challenges., • NYS Certified Recovery Peer Advocate (CRPA) or (CPRA-P)- preferred, • Ability to use lived experiences to support youth in their resiliency/recovery and wellness., • Familiarity of HCBS Behavioral Health “peer service” model., • Experience with culturally diverse populations in an addiction service setting., • Computer proficiency in Microsoft Office and experience in electronic database systems preferred., • Availability to work flexible schedule including weekends. Benefits: • Generous PTO Policy, • Competitive Salary, • Medical & Dental Insurance, • Pension Plan, • 403b Retirement Plans, • Discount Perks for Movies, Broadway Shows, and Amusement Parks, Etc., • Free Gym Membership to our MCC Fitness & 14Y Gym, • Discounts to programs at Educational Alliance Limitations and Disclaimer The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required for the position EEO Info Educational Alliance is committed to workplace diversity and inclusion. We are equal opportunity employers and do not discriminate in hiring or employment on the basis of race, color, religion, national origin, gender identity and expression, marital status, sexual orientation, age, disability, veteran status, or any other characteristic protected by federal, state, or local law. Educational Alliance takes affirmative action in support of its policy to employ and advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. Educational Alliance is an Equal Opportunity Employer. For further information about Educational Alliance, please visit https://edalliance.org.

Job Description THE ORGANIZATION The Center for Justice Innovation is a nonprofit organization dedicated to advancing community safety and racial justice. Since 1996, we’ve worked alongside communities, courts, and those most directly affected by the justice system to build stronger, healthier, and more equitable neighborhoods. With a team of over 900 staff and an annual budget of $130 million, the Center carries out its mission through three core strategies: • Operating Programs that pilot new ideas and address local challenges;, • Conducting original research to evaluate what works—and what doesn’t; and, • Providing expert assistance and policy guidance to reformers across the country and beyond. Backed by decades of on-the-ground experience and nationally recognized expertise, we bring innovative, practical, and lasting solutions to justice systems nationwide. Learn more about our work at www.innovatingjustice.org. THE OPPORTUNITY The Queens Community Justice Center (Justice Center) works to create a safer, more equitable Queens through community-driven safety initiatives, alternative justice strategies, violence prevention, economic development, community healing, and youth opportunity. The Queens Community Justice Center is seeking a Youth Coach for its QUEST (Queens Engagement Strategies for Teens) alternative-to-detention (ATD) program. Reporting to the Program Coordinator, the Youth Coach supports participants enrolled in the Alternative to Detention program and will develop and implement programming to support social emotional learning for all participants. The Youth Coach will be responsible for tracking school attendance, curfew compliance and court attendance of all youth enrolled in the program, provide programming for youth during after-school hours, and will work with stakeholders and staff to ensure effective delivery of services to participants and their families. Responsibilities include but are not limited to: • Work with a caseload of youth (age 12-17), which includes weekly case management, coaching, crisis response, coordination of care, and referral services;, • Develop individualized action plans and aftercare plans with participants;, • Develop, facilitate, implement, and coordinate daily after-school programming for all youth enrolled in the QUEST program;, • Facilitate psychoeducational group workshops as part of after-school programming;, • Collaborate with Family Court practitioners as part of ongoing case management duties;, • Identify program participants’ strengths and individual interests;, • Collaborate in all service planning for youth;, • Refer families to appropriate services and resources and respond with innovative solutions when challenges present;, • Conduct curfew monitoring calls;, • Obtain school attendance records;, • Provide educational support and advocacy for participants;, • Maintain records of identified participants’ contacts to produce regularly scheduled reports;, • Prepare court reports;, • Participate in field work to support youth, as needed;, • Represent QUEST ATD and support youth during scheduled court hearings as needed;, • Participate in other QCJC programming and events, including community and other partner meetings, as needed; and, • Additional relevant tasks, as needed. Qualifications:, • Bachelor’s degree in social services or related field or a High School diploma (or higher) and at least 3-4 years of experience in youth development work preferably within the juvenile justice system;, • Bilingual (English/Spanish) strongly preferred;, • Excellent written and verbal communication and computer skills required; and, • Candidate must be able to work in a multi-disciplinary setting and maintain strong relationships with youth, families, multiple agencies and organizations both onsite and in the community. Position Type: Full-Time 11:00 AM to 7:00 PM, some late evenings and weekends as needed. Position Location: Queens, NY. Compensation: The compensation range for this position is $28.57 - $30.31 per hour, annually equivalent to $52,000 - $55,169 based on a 35-hour work week and is commensurate with experience. Benefits: The Center for Justice Innovation offers an excellent benefits package including comprehensive healthcare with a national network, free basic dental coverage, vision insurance, short-term and long-term disability, life insurance, and flexible spending accounts including commuter FSA. We prioritize mental health care for our staff and offer services like Talkspace and Ginger through our healthcare plans. We offer a 403(b) retirement plan with a two-to-one employer contribution up to 5%. The Center for Justice Innovation is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, gender identity, gender expression, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. We strongly encourage and welcome applications from women, people of color, members of the LGBTQ+ community, and individuals with prior contact with the criminal justice system. Our goal is to create a supportive and respectful environment where everyone, regardless of background or identity, feels valued and included. At this time, the Center is unable to sponsor or take over sponsorship of an employment visa. All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment. Candidates are expected to provide accurate and truthful information throughout the hiring process. Any misrepresentation, falsification, or omission of material facts may result in disqualification from consideration, withdrawal of an offer, or termination of employment, regardless of when discovered. In compliance with federal law, all hires must verify their identity and eligibility to work in the United States and complete the required employment verification form upon hire. Please refer to the job posting for relevant contact information. If contact details are not provided, we kindly ask that you refrain from inquiries via phone or email, as only shortlisted candidates will be contacted. Powered by JazzHR VmwRVAc350

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 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 • 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 4 (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 • 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).

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

Machine Learning Engineer 5 (IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • 4+ years of on-the-job experience with an industry recognized ML framework such as Dask or XGboost.\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning 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 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 \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).

Sr. Staff AI Engineer (Remote Eligible)\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, • Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale\n, • Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide\n, • Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture\n, • Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One’s AI technical leadership\n\n \n Capital One is open to hiring a Remote Employee for this opportunity. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies\n, • At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy\n, • 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level\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, • Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership\n, • Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance\n, • Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams\n, • Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact\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 Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer\n \n Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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).

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

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef's-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef's table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef's-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef's table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef's-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef's table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef's-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef's table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef's-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef's table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef's-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef's table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef's-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef's table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef's-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef's table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef's-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef's table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the "A" lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG's anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status").

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef’s-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef’s table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef’s-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef’s table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef’s-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef’s table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Staff AI Engineer\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, • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams\n, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads\n, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design\n, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds\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 8 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 6 years of experience developing AI and ML algorithms or technologies\n, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level\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, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks\n, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency\n, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization\n, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility \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 ion. \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: $269,100 - $307,200 for Staff AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Staff AI Engineer\n \n New York, NY: $293,600 - $335,100 for Staff AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Staff 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).

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

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef’s-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef’s table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef’s-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef’s table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef’s-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef’s table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef’s-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef’s table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job DescriptionSOUS CHEF [Restaurant Shift Leader] $18 - $21 / hour depending on experience + $2-3/hour in tips + MORE BENEFITS!ABOUT THE ROLE: As a Sous Chef, you will support our Restaurant Leaders to drive culinary and hospitality excellence in our scratch-based kitchen. With a genuine love for cooking delicious food, you will work to master every DIG station by consistently executing recipes, processes, and procedures and training actively to elevate the knowledge of the whole restaurant. Our Chefs-In-Training look to you for guidance because you invest in their growth, lead during peak service, resolve guest concerns and serve as a vital resource on culinary & systems best practices. You will take initiative as a leader & role model in the kitchen by participating in pre- shifts, shift management, and training & will be held accountable to ensuring tasks across the restaurant are completed on time and to standard. The Sous Chef role is an hourly position and a great opportunity to learn the business and grow with DIG! YOU WILL: • Elevate and motivate Chef’s-in-Training by modeling culinary expertise, warm hospitality, and a great attitude., • Train fellow teammates on each station, following station diagrams, pars & station prep to ensure consistency., • Demonstrate mastery of every station by consistently executing all seasonal menu offerings according to the recipes, procedures, and standards of The Pantry., • Manage prep lists, waste logs and participate in food inventory while staying in close contact with your Chef de Cuisine to ensure your walk-in is fully-stocked and organized., • Learn all restaurant ordering systems [Food, paper etc] to support the CDC in maintaining appropriate pars needed for service., • Run and execute successful restaurant shift management by writing a smart deployment, delegating work appropriately to the team and following scheduled deployment and breaks., • Successfully open and close the restaurant using the checklists and thorough communication with the previous days leaders to best prepare for a steady shift., • Participate in team building through interview shadowing, contributing to the Chef’s table agenda, providing feedback to CITs, and leading preshift., • Operate the expeditor / computer station to ensure that food presentation and order accuracy is met for all walk-in, pick-up and delivery orders., • Troubleshoot and create solutions regarding guest concerns, digital ordering, and equipment maintenance., • Help to maintain the “A” lettergrade by following Department of Health and DIG food safety standards., • Demonstrate professional maturity and strictly uphold DIG’s anti-discrimination & anti-harassment policies. YOU HAVE: • 1+ year leadership experience in a culinary environment., • The ability to perform physical requirements of the position (frequently lifting up to 25 pounds, occasionally lifting up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • Food Safety Certification., • A desire to create exceptional employee & guest experiences., • An eye for detail and solving challenges., • Excellent communication skills, both verbal and written., • The willingness to roll up your sleeves and pitch in wherever necessary., • A desire for growth in our brigade. WORK PERKS: Aside from the standard job description fare (competitive pay) we also offer: • Opportunities for GROWTH in a TEAM environment, • Competitive Pay & potential to earn tips, • Paid Time Off, • 401K programming, • Parental leave, • Thanksgiving, Christmas and other Holidays Off, • Flexible Scheduling: Part Time and Full Time Hours, • Complimentary DIG lunch everyday, • Commuter Benefits ABOUT US: To learn more about our mission and food please visit our website at: https://www.diginn.com/mission NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply Additional Role Note: The duties of this position may change from time to time. DIG reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. DIG is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law (“Protected Status”).

Job Description We are seeking a Fire Alarm Technician to join our Federal Systems team at our Schenectady, NY. At Johnson Controls, we support our nation’s most critical facilities, the people who occupy them, and the missions they enable. Johnson Controls Federal Systems (JCFS) is a specialized team serving as a trusted partner to the federal government. We help modernize U.S. military installations, Department of Defense and other federal agency facilities to be smarter, more resilient, efficient, sustainable, and secure. Location: Onsite in Schenectady, NY Pay Range: $30 -$34 /hour Shift: Primary hours are 7:00-3:30pm, Monday-Friday. Benefits: Eligible for benefits on first day of employment Vacation: 3 weeks of paid vacation per calendar year As a Fire Alarm Technician, you will: • Under direct supervision, completes assigned programming, commissioning, basic troubleshooting and preventive maintenance of fire alarm systems per contract obligations, • Assists experienced personnel with solutions to systems problems, either troubleshooting the system or advising others on how to resolve problems. Requires understanding of core and third party fire products, software and systems electrical technology., • Assists in performing required commissioning documentation. Provide accurate information for as-builts documentation., • Conducts testing to ensure proper operation of equipment after installation or repairs, • Adheres to safety standards and local and national codes, with a high degree of regard to employee and subcontractor safety., • Maintains appropriate local and National Fire Industry Certifications., • Read and interpret blueprints, diagrams, submittals, specifications, software/systems programs, schematics and operational product manuals, • Communicates with customer upon arrival and before leaving the work site. Continuous proactive customer interactions including an in-depth understanding of customer(s) needs wants and systems currently in place., • Completes paperwork and on site documentation as required., • Performs other duties as assigned Required Qualifications: • High School diploma or equivalent education, • Two or more years' experience with commercial fire alarm or fire suppression systems, • Ability to read and interpret blueprints, diagrams, submittals, specifications, software/systems programs, schematics and operational product manuals, • Ability to communicate effectively, orally and in writing, while establishing and maintaining cooperative working relationships., • Basic computer skills, • The ability to obtain and maintain required government security clearance to support this site required. (This involves a background/character, criminal history, employment, and credit check.) Preferred Qualifications • NICET certification, • Electronics certification from an accredited technical school or military electronics training preferred. Who We Are At Johnson Controls (NYSE:JCI), we are One Team working collaboratively to create purposeful solutions that make a difference in the world. We are a Fortune 500 company with more than 100,000 employees worldwide offering the world`s largest portfolio of building technology products, solutions and services. As a member of our Federal Systems team, your work matters. We value and recognize your contributions and want to help you succeed. We invest in our employees, provide opportunities for growth and advancement, and foster a culture of inclusion and respect. To learn more about who we are and what we do, please check out our _ video. Recently, Johnson Controls has been recognized by several organizations for leadership in Environment, Sustainability and Governance, as well as innovations in smart building platforms: • Named to _, • Corporate Knights Global _, • Named to Forbes _list, • CDP 2023 _', • Ranked 67 on the Drucker Institute’s list of _, • Forbes _, • Newsweek _, • Ethisphere 2024 _list for the 17th time, • Newsweek _, • Named to _listing, • Named to _, • Named one of the top military friendly employers by military.com. Johnson Controls is an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit _ Division: JCFS (Johnson Controls Federal Systems) Job: 1559 #LI-JW2 #LI-Onsite

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 \n Team Description: \n \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 \n What You’ll Do: \n \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 \n The Ideal Candidate: \n \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 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 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).

Machine Learning Engineer 4 (Manager, IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Chicago, IL: $179,400 - $204,700 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer (Remote Eligible)\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, • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams\n, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads\n, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design\n, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds\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 Capital One is open to hiring a Remote Employee for this opportunity \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 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 6 years of experience developing AI and ML algorithms or technologies\n, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level\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, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks\n, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency\n, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization\n, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility \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 Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer\n \n Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Staff AI Engineer\n \n New York, NY: $293,600 - $335,100 for Staff AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Staff AI Engineer\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 If you are a current YAI employee, please click this link to apply through your Workday account. About the Position: YAI is seeking a qualified Assistant Behavior Intervention Specialist (ABIS) to support our locations in Queens. The Asst. BIS position blends together the Direct Support Professional (DSP) role and a behavioral support role. Under the supervision of the BIS the Asst. BIS will support in educating team members on treatment plans and behavior support plans, assisting with clinical assessments, ensuring data collection, and providing direct feedback and education to all team members. Mission Statement YAI: YAI is a network of agencies offering people with intellectual and developmental disabilities a comprehensive range of services across all ages. YAI empowers people with disabilities to reach their goals every day. Our enthusiastic staff of over 4,000 professionals believes that everyone has a fundamental right to live, love, work, and learn. If you share our vision and want to help support people to live the fullest lives possible, apply to this position. Responsibilities: To provide direct care services as needed. This includes, but is not limited to, the provision of direct counseling, implementation of each individual’s treatment plan, training in ADL skills, assistance with personal care, medical, dietary, social, sexual, recreational, financial, and habilitative, and other needs within the program. To train staff, which includes, but is not limited to, using the EMOE training system to ensure that all clinical interventions are properly implemented, to communicate clinical rationales to the staff, to provide staff with both formal and informal feedback, and role model at all times appropriate tone, implementing of habilitative and behavioral programming, and appropriate data collection techniques Role Model use of person-centered philosophy and use of person-centered tools To develop written, individualized habilitative plans in accordance with the agency philosophy, as determined by individual need. To conduct assessments – both behavioral and habilitative via formal means (written questionnaires, rating scales, baseline data, etc.) and informal (observations), under the supervision of the BIS. To design effective data collection systems that allow progress to be monitored. To monitor the data collection, ensure that the data is totaled and summarized on a monthly basis and that new data sheets are accessible to staff at the beginning of each month. To oversee/maintain the completion of all required paperwork, including monthlies, Person-Centered materials, and ensure that all pertinent information is included on psychiatric anecdotal. To provide the appropriate therapeutically documented level of an individual’s supervision to ensure and protect the individual’s health/safety and well-being. Whenever this level is unclear or unknown, provide the maximum level of supervision to assure and protect the individual’s health and safety. Train new staff on Level 1 competencies. Resource to staff by providing clinical support in absence of the BIS/Supervisor. Lead trainer of weekend staff on clinical interventions Location: Queens, NY Schedule: Sun - Thu 3 pm - 11 pm Full time Evening Education and Experience: BA/BS Degree in Psychology or Human Services is strongly preferred or enrolled in 4-year degree in Psychology or Human Services field. At least one year experience working within the field of I/DD as a Direct Support Professional (DSP). Additional Knowledge, Skills, and Abilities: Exceptional interpersonal, problem solving, and communication skills. Willing to take initiative. Highly flexible to varied work schedule. Experience in computer skills and ability to teach others. College-level writing ability. Must demonstrate assertiveness/leadership skills. Must demonstrate clinical skills Benefits: DailyPay available - Work today, get paid today! Tuition reimbursement Medical/Dental, and Vision Paid Vacation/Holidays and Sick Time 403(b) retirement with employer matching contribution Life Insurance Discounts on travel, entertainment, wireless services, shopping, and more! Compensation: $22.00/hour to $22.00/hour All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. YAI is an Equal Opportunity Employer.

AI Engineer 5 (GenAI Platform Services, Agentic Platform)\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).

AI Engineer 5 (Gen AI Platform Services - Agentic Systems)\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 • \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 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 \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 Title: Health-Tech Software Fellow – (Gap Year / Pre-Med) Location: New York, NY (On-site) Employment Type: Full-time, Hourly (40 hrs/week, non-exempt) Compensation: $20.00/hour (with overtime for hours exceeding 40/week) About Sigmund Healthcare Sigmund Healthcare is an intelligent clinical assistant platform designed by clinicians to streamline psychiatric care—from intake and longitudinal tracking to session documentation. Originating from the Sultan Lab for Mental Health Informatics at Columbia University Irving Medical Center, Sigmund collaborates with leading institutions including NewYork-Presbyterian, Harvard, Mount Sinai, and Weill Cornell. We bridge cutting-edge clinical machine learning with real-world psychiatric workflows across pediatric, adolescent, and adult care. Role Overview We are seeking a motivated, mission-driven recent college graduate to join our team on-site in New York City as a Junior Software Developer / Health-Tech Software Fellow. This role is specifically tailored for individuals passionate about the intersection of software engineering, mental health, and clinical medicine—making it an ideal 1–2 year launchpad for candidates planning to apply to medical school (MD/DO), graduate programs in biomedical informatics or computational neuroscience, or health-tech careers. In this role, you will gain hands-on experience building, testing, and scaling clinical services that directly support psychiatric clinicians and patients. Working alongside clinical researchers, faculty, and engineers, you will translate complex psychiatric workflows into robust software while receiving direct mentorship in clinical informatics, modern full-stack architectures, and health-tech compliance. Who Should Apply • Pre-Med & Gap-Year Candidates: Recent graduates seeking substantive, clinically integrated technical experience and faculty mentorship before entering medical school., • Interdisciplinary Thinkers: Individuals with backgrounds bridging Computer Science, Computational Neuroscience, Cognitive Science, Biomedical Engineering, or Informatics who want to apply software skills to mental healthcare., • Mission-Driven Problem Solvers: Candidates committed to improving psychiatric care delivery and workflows through thoughtfully engineered technology. Key Responsibilities • Develop and maintain backend services, RESTful APIs, and database schemas supporting clinical workflows., • Write clean, maintainable, and well-tested code using modern software design principles., • Collaborate directly with clinicians and researchers to prototype, test, and iterate on new platform features., • Assist in integrating third-party clinical APIs, data pipelines, and internal tooling., • Participate in code reviews, technical discussions, and system reliability/security optimizations (including HIPAA best practices). Qualifications • Education: Bachelor’s degree in Computer Science, Software Engineering, Data Science, Biomedical Informatics (exposure to life sciences/mental health a strong bonus)., • Core Fundamentals: Solid foundation in data structures, algorithms, object-oriented programming (OOP), and database fundamentals., • Technical Skills: Familiarity with modern backend languages/frameworks (e.g., Python, Node.js, TypeScript), REST APIs, SQL/NoSQL databases, and Git version control., • Mindset: Eagerness to take ownership of features, learn rapidly under direct mentorship, and solve ambiguous technical problems., • Collaboration: Strong written and verbal communication skills; comfortable interfacing with both technical teammates and clinical partners., • Bonus: Prior exposure to healthcare data, HIPAA compliance concepts, full-stack development, or academic research projects. What We Offer • Direct Clinical Impact: Build software actively utilized in an outpatient psychiatric clinic., • Mentorship & Pedigree: Work alongside clinical informatics faculty, machine learning researchers, and experienced engineers at the intersection of medicine and technology., • Career Launchpad: Exceptional preparation and mentorship for future careers in high-growth health-tech, software engineering, or top-tier medical/graduate school programs.