Capital One
Applied Researcher 4
$219K–$272K
New York, NY +3 · Full-time · Posted Sep 29, 2026
- Location
- New York, NY
McLean, VA
Cambridge, MA
San Jose, CA - Experience
- 2 years of Applied Research experience with an M.S. alternative; no years specified for the PhD route.
- Education
- PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields; alternatively, an M.S. in one of these fields or related 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
Develops and researches AI foundation models, taking them from design and training through evaluation and deployment in customer-facing products.
What you'll do
- Partner with data scientists, engineers, and product managers to deliver AI-powered products.
- Build and implement AI foundation models, and conduct applied research to advance customer experiences.
- Translate research findings into business goals and contribute to internal technical reports or conference submissions.
What they ask for
- Currently has or is obtaining a PhD in a listed related field, or has an M.S. in a listed related field plus 2 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 delivering models at scale.
- Experience delivering libraries, platform-level code, or solution-level code to existing products.
Nice to have
- Publications or research experience in large language models, deep learning, optimization, or fine-tuning.
- Experience training a large language model from scratch or optimizing training for a 10B+ model.
Pay
Cambridge, MA: $218,700 - $249,600 USD base salary; McLean, VA: $218,700 - $249,600 USD base salary; New York, NY: $238,600 - $272,300 USD base salary; San Jose, CA: $238,600 - $272,300 USD base salary
Tools
Pytorch, AWS Ultraclusters, Huggingface, Lightning
AI focus
Applied research and development of AI foundation models, including training, evaluation, validation, implementation, optimization, self-supervised learning, robustness, explainability, RLHF, and LLM fine-tuning.
Model-written summary · the original posting is authoritative