Capital One
Applied Researcher 4 (AI Foundations, Graph and Behavioral Models)
$219K–$272K
San Jose, CA +3 · Full-time · Posted Sep 21, 2026
- Location
- San Jose, CA
McLean, VA
Cambridge, MA
New York, NY - Experience
- 2 years of Applied Research experience with an M.S. as an alternative to the PhD route; otherwise currently has or is obtaining a PhD.
- Education
- PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields; alternatively, an M.S. in those fields plus 2 years of Applied Research experience.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Conduct applied AI research and build, evaluate, and deploy foundation models and graph or behavioral models for customer-facing products.
What you'll do
- Develop foundation models through design, training, evaluation, validation, and implementation.
- Apply current AI research to scalable products and collaborate with cross-functional teams.
- Share research findings through internal technical reports or conference submissions.
What they ask for
- PhD in a related field, or an M.S. in a 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 delivering models at scale.
- Track record of research ideas or machine-learning improvements, such as first-author publications or projects.
Nice to have
- PhD focused on NLP or geometric deep learning, or specified related industrial NLP research experience.
- Relevant publications, large language model training experience, graph-model scaling, or production recommender systems experience.
Pay
USD $218,700 - $249,600 base salary (Cambridge, MA); USD $218,700 - $249,600 base salary (McLean, VA); USD $238,600 - $272,300 base salary (New York, NY); USD $238,600 - $272,300 base salary (San Jose, CA)
Tools
Pytorch, AWS Ultraclusters, Huggingface, Lightning, pytorch-geometric, DGL
AI focus
Applied research and development of AI foundation models, including language, graph, and behavioral models; training, evaluation, and deployment at scale.
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