Capital One
Principal Associate, Data Scientist - LLM Customization Team
$162K–$201K
New York, NY +1 · Principal · Full-time · Posted Jun 9, 2026
- Location
- New York, NY
McLean, VA - Experience
- 5 years of data analytics with a quantitative bachelor’s degree; alternatively, 3 years with a quantitative master’s degree or quantitatively concentrated MBA; no years specified for a quantitative PhD.
- Education
- Quantitative-field bachelor’s, master’s, or PhD, with the stated experience alternatives.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Develop and operationalize customized NLP and LLM solutions for financial-services products, from research and model training through evaluation and production deployment.
What you'll do
- Partner with data science, research, engineering, and product teams to deliver AI-powered customer products.
- Adapt and fine-tune LLMs for business applications and build NLP models through design, training, evaluation, and validation.
- Work with engineering teams to deploy scalable, resilient models and communicate findings in business terms.
What they ask for
- Quantitative-field bachelor’s degree plus 5 years of data analytics experience, quantitative-field master’s degree or quantitatively concentrated MBA plus 3 years of data analytics experience, or quantitative-field PhD.
- Hands-on experience with LLMs and open-source tools and cloud computing platforms.
- Experience training language models or large computer vision models, with expertise in at least one of training optimization, self-supervised learning, explainability, or RLHF.
- Track record delivering models at scale and delivering libraries, platforms, or solution-level code to products.
Nice to have
- At least 1 year of AWS experience.
- At least 3 years of experience in Python, Scala, or R, and at least 3 years of machine-learning experience.
Pay
McLean, VA: $161,800 - $184,600 USD base salary; New York, NY: $176,500 - $201,400 USD base salary
Tools
Pytorch, Hugging Face, AWS Ultraclusters, LangChain, VectorDBs, AWS, Python, Scala
AI focus
Research, train, fine-tune, evaluate, and deploy LLM and NLP models for business-specific applications and customer experiences.
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