Capital One
Applied Researcher 4
$219K–$272K
McLean, VA +3 · Full-time · Posted Oct 20, 2026
- Location
- McLean, VA
Cambridge, MA
San Jose, CA
New York, NY - Experience
- 2 years in Applied Research with an M.S.; no years specified for the PhD pathway.
- Education
- PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or a related field, or M.S. in one of those fields or a related field.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization.
About the job
Conduct applied AI research and build, evaluate, and implement foundation models for customer-facing products, working across research and engineering teams.
What you'll do
- Develop foundation models from design through training, evaluation, validation, and implementation.
- Apply emerging AI research to customer experiences and deliver models at scale.
- Collaborate across teams and communicate findings through internal technical reports or conference submissions.
What they ask for
- Currently hold or be pursuing a PhD in a listed or related field, or have an M.S. in a listed or related field plus 2 years of Applied Research experience.
- Hands-on experience developing AI foundation models and solutions using open-source tools and cloud platforms.
- Experience building large deep learning models and expertise in at least one of: training optimization, self-supervised learning, robustness, explainability, or RLHF.
- Track record delivering models at scale and delivering libraries, platform code, or solution code to existing products.
Nice to have
- Experience with geometric deep learning, graph or sequential data, or large-scale recommender systems.
- Experience in production real-time or streaming environments, open-source contributions, or reproducible AI research.
Pay
$218,700 - $249,600 USD base salary (Cambridge, MA); $218,700 - $249,600 USD base salary (McLean, VA); $238,600 - $272,300 USD base salary (New York, NY); $238,600 - $272,300 USD base salary (San Jose, CA)
Tools
Pytorch, AWS Ultraclusters, Huggingface, Lightning, pytorch-geometric, DGL
AI focus
Applied AI research and development of foundation models, including training, evaluation, validation, and production implementation.
Model-written summary · the original posting is authoritative