Capital One
Applied Researcher 5
$262K–$327K
New York, NY +3 · Full-time · Posted Sep 24, 2026
- Location
- New York, NY
McLean, VA
Cambridge, MA
San Jose, CA - Experience
- 2 years in Applied Research with a PhD; or 4 years in Applied Research with an M.S.
- Education
- PhD or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Develop and research AI foundation models, taking them from design and training through evaluation and production deployment for customer-facing banking products.
What you'll do
- Partner with data scientists, engineers, and product managers to deliver AI-powered products.
- Build foundation models through design, training, evaluation, validation, and implementation.
- Lead applied research that bridges prototype development and production deployment.
What they ask for
- Currently have or be obtaining a PhD in a related field, with 2 years of Applied Research experience; or an M.S. in a related field with 4 years of Applied Research experience.
- Hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing 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 of delivering models at scale and delivering libraries, platform-level code, or solution-level code to existing products.
Nice to have
- Experience or publications related to large language model pre-training, optimization, or fine-tuning.
- Publications at ACL, NAACL, EMNLP, NeurIPS, ICML, or ICLR.
Pay
$262,500 - $299,600 USD base salary (Cambridge, MA); $262,500 - $299,600 USD base salary (McLean, VA); $286,400 - $326,800 USD base salary (New York, NY); $286,400 - $326,800 USD base salary (San Jose, CA)
Tools
Pytorch, AWS Ultraclusters, Huggingface, Lightning
AI focus
Applied research and development of AI foundation models, including training, evaluation, validation, and production deployment; the posting also highlights LLM pre-training, optimization, and fine-tuning.
Model-written summary · the original posting is authoritative