Capital One
Applied Researcher 4
$219K–$272K
New York, NY +3 · Full-time · Posted Sep 21, 2026
- Location
- New York, NY
McLean, VA
Cambridge, MA
San Jose, CA - Experience
- 2 years of Applied Research with an M.S. as an alternative to a PhD; preferred NLP research experience alternative: 5 years of industrial NLP research with a Masters.
- Education
- PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields; or 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 implement foundation models for scalable customer-facing banking products.
What you'll do
- Partner with data scientists, engineers, and product managers to deliver AI-powered products.
- Develop foundation models from design through training, evaluation, validation, and implementation.
- Conduct applied research and communicate findings through internal technical reports or conference submissions.
What they ask for
- PhD in a listed related field, currently held or in progress by the start date; or an M.S. in a listed related field plus 2 years of Applied Research experience.
- Deep understanding of AI methodologies and hands-on experience building large deep learning models.
- Track record delivering models at scale and delivering code or solutions into existing products.
- Demonstrated research contributions and ability to independently pursue a research agenda.
Nice to have
- Publications in relevant venues or on large language model pre-training and deep learning theory.
- Experience training or optimizing large language models, or deploying fine-tuned LLMs.
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
AI focus
Applied research and development of AI foundation models, including training, evaluation, validation, and implementation; preferred work includes LLM pre-training, optimization, and fine-tuning.
Model-written summary · the original posting is authoritative