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What You’ll Do:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Basic Qualifications:
Bachelor’s Degree
At least 3 years of experience in software engineering (Internship experience does not apply)
Preferred Qualifications:
5+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
3+ years of experience in open source frameworks
2+ years of experience in Agile practices
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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In this role, you will:
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
The Ideal Candidate:
You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
Has a deep understanding of the foundations of AI methodologies.
Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes.
Experience in delivering libraries, platform level code or solution level code to existing products.
A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.
Basic Qualifications:
Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research
Preferred Qualifications:
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
LLM
PhD focus on NLP or Masters with 5 years of industrial NLP research experience
Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
Publications in deep learning theory
Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR
Optimization (Training & Inference)
PhD focused on topics related to optimizing training of very large deep learning models
Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression
Experience optimizing training for a 10B+ model
Deep knowledge of deep learning algorithmic and/or optimizer design
Experience with compiler design
Finetuning
PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning)
Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance
Experience deploying a fine-tuned large language model
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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Basic Qualifications:
Currently enrolled in an accredited PhD Program
Completed 2nd year of PhD coursework by program start date (for example: 2nd year of PhD program completed by program start date OR qualifies, at minimum, as a 2nd year in PhD program because of completed Master’s)
Preferred Qualifications:
Completed 3rd or 4th year of PhD Program
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
Programming experience (e.g. Python) and experience with at least one deep learning framework (e.g. PyTorch)
Publications in leading conferences such as ICLR, NeurIPs, ICML, ACL, NAACL, EMNLP, KDD, or CVPR
Focused area of research in one of the following areas:
Foundation Models (Language, Vision, Graphs, Time Series), including finetuning and pre-training
LLMs (Agentic AI, Reasoning, Test Time Compute Models, Mixture of Experts)
Reinforcement Learning (World Models, Reasoning, GRPO, PPO, RLHF)
Causal Inference
User Behavior Modeling
Model Inference Optimization
Interpretability, Responsible/Trustworthy AI Models
Team Description:
In this role, you will:
Join Capital One for a full-time, 12 week, summer applied research experience, discovering solutions to real world, large-scale problems.
Engage in high impact applied research with the goal of taking the latest AI developments and pushing them into the next generation of customer experiences, or contributing to publications in this field.
Partner with a cross-functional team of applied researchers, data scientists, software engineers, machine learning engineers and product managers to test and design AI- powered products that change how customers interact with their money.
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
Partner with leading researchers to publish papers at top academic conferences.
Develop professionally through networking sessions, technical deep dives and executive speaker sessions from across Capital One.
The Ideal Candidate:
You love the process of analyzing and creating, but also share our passion to do the right thing. You want to work on problems that will help change banking for good.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
Technical. You possess a strong foundation in mathematics, deep learning theory, and the engineering required for contributing to the development of AI.
Determined. Strengthen your field of study by applying theory to practice. Bring your ideas to life in industry.
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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You’ll define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of iterative software delivery, capable of thin-slice MVP grooming
You’ll leverage customer insights to influence priorities and roadmap feature development while advocating for and driving alignment between stakeholders in the development of acceptance criteria
You’ll obsess over UX/UI patterns and seek to create world class, omni-channel experiences
You’ll own and prioritize the near-term product roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes
You’ll utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team
You’ll understand and leverage technology and end-state architecture vision to partner with technology team to drive comprehensive design decisions out of white space technical problems
You’ll share business strategy and roadmap with Tech partners to establish context while also leading and facilitating agile ceremonies alongside Tech Lead
You’ll deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics on security, resilience and performance are not performing
You’ll develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence
You’ll Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior product associates
We are looking for a person that enjoys using a broad skill set preferably with previous M&A (Merger and Acquisition), Finance, Financial services and/or Consulting Services. Some of these would include;
Project/Program Management
Data Analysis
Process Management (Creation,Redesign, Automation)
Risk Management
Strategy creation
You will be a collaborator by nature, have a high level of attention to detail, be a self starter and comfortable leading both direct reports and/or a Matrixed team.
We want you if you are:
Intellectually Curious.You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges.
Communicator & Influencer.You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they’re doing what they’re doing. You always can rally associates to work with you.
Do-er.You’re biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You’re well organized, able to multitask and able to prioritize your work.
Passionate & Customer Focus.You care about growing others and bringing them together around what’s possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs.
Learner.You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help.
Team Player.
Basic Qualifications:
At least 3 years of experience working in Product Management
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
Experience translating business strategy and analysis into consumer facing digital products
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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The Reimagined Branch Experience:
As a Branch Ambassador, you’ll have the opportunity to use your love of working with people and sharing product knowledge to play a vital role in our customers’ banking experience. You’ll also perform a wide variety of transactions including check cashing, deposits, transfers and withdrawals while monitoring fraud mitigation and adhering to established operational policies and procedures. Equally important is the ability to resolve customer inquiries quickly and efficiently, delivering an extraordinary customer experience. Our rapidly changing tech and financial environment requires Ambassadors who are adaptable and have a growth mindset, in addition to being customer experience-obsessed. Our Branch team exists to enhance the financial lives of people in the communities we serve. We’re not just looking to fill open positions—we seek outgoing, passionate people who really want to be a part of this whole reimagined banking experience.
Here’s what we’re looking for in you:
If you’re nodding along and like what you’re reading, let’s talk.
- High School Diploma, GED, or Equivalent Certification
- At least 6 months of cash handling experience
Preferred Qualifications:
- Associate’s degree
-2+ years of Retail, Sales, or Banking Experience
Paramus, NJ: $51,542 - $54,600 for Branch Ambassador. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
These jobs might be a good fit

Share
In this role, you will:
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
The Ideal Candidate:
You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
Has a deep understanding of the foundations of AI methodologies.
Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes.
Experience in delivering libraries, platform level code or solution level code to existing products.
A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.
Basic Qualifications:
Currently has, or is in the process of obtaining, a PhD, with an expectation that required degree will be obtained on or before the scheduled start date plus at least 2 years of experience in Applied Research, or M.S. plus at least 4 years of experience in Applied Research
Preferred Qualifications:
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
LLM
PhD focus on NLP or Masters with 5 years of industrial NLP research experience
Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
Publications in deep learning theory
Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR
Optimization (Training & Inference)
PhD focused on topics related to optimizing training of very large deep learning models
Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression
Experience optimizing training for a 10B+ model
Deep knowledge of deep learning algorithmic and/or optimizer design
Experience with compiler design
Finetuning
PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning)
Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance
Experience deploying a fine-tuned large language model
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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Responsibilities
Ownership of the team’s recruiting, interviewing, hiring, onboarding, and development of associate talent.
Offer impact performance feedback through employee recognition, rewards, and disciplinary action.
Guide employee’s success using a framework that encourages employee contribution, feedback, and growth.
Empower career development planning and opportunities. Delegate responsibility and welcomes accountability and regular feedback.
Foster a spirit of teamwork and cohesion aligning with Capital One’s open culture and the appreciation of diversity of people and thought.
Strategically analyze data, statistics, and operational results transforming low outcomes into solutions.
Manage employee work schedules including vacations, holidays, paid time off and overtime opportunities making sure the team needs are met.
Foster a collaborative team by demonstrating transparent communications across the team by holding regular group and one on one meetings.
Partner successfully with peers and teammates to efficiently achieve operational alignment and mutual objectives.
Qualifications:
High School Diploma, GED or Equivalent Certification
At least 2 years of Financial Services Experience or Business to Business Sales Experience
Qualifications:
Bachelor’s Degree
2+ years of experience in Indirect Auto Finance
2+ years of experience in Credit Underwriting
3+ years of experience in Sales and Marketing
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
These jobs might be a good fit

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What You’ll Do:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Basic Qualifications:
Bachelor’s Degree
At least 3 years of experience in software engineering (Internship experience does not apply)
Preferred Qualifications:
5+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
3+ years of experience in open source frameworks
2+ years of experience in Agile practices
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
These jobs might be a good fit