Capital One
Manager, Data Science - AI Foundations
$197K–$246K
New York, NY +2 · Manager · Full-time · Posted Oct 19, 2026
- Location
- New York, NY
McLean, VA
San Jose, CA - Experience
- Data analytics: 6 years with a bachelor’s degree, 4 years with a master’s degree or quantitative MBA, or 1 year with a PhD. Also requires at least 1 year each in open-source programming for large-scale data analysis, machine learning, and relational databases.
- Education
- Bachelor’s, master’s, or PhD in a quantitative field; a quantitative MBA is an alternative to a master’s degree. Degree may be in progress if obtained by the scheduled start date.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads development and production delivery of scalable NLP and AI/ML models, including adapting and fine-tuning LLMs for customer-facing mobile app experiences.
What you'll do
- Partner with data science, engineering, and product teams to build AI-powered customer products.
- Design, train, evaluate, and validate machine learning and NLP models, then operationalize them in scalable production systems.
- Translate technical findings into business goals and communicate them to non-technical audiences.
What they ask for
- Bachelor’s degree in a quantitative field plus 6 years of data analytics experience; or master’s degree in a quantitative field or quantitative MBA plus 4 years; or PhD in a quantitative field plus 1 year.
- At least 1 year leveraging open-source programming languages for large-scale data analysis.
- At least 1 year working with machine learning.
- At least 1 year utilizing relational databases.
Nice to have
- PhD in a STEM field.
- Experience with AWS; at least 4 years in Python, Scala, or R; machine learning; or SQL.
Pay
$197,300 - $225,100 USD base salary (McLean, VA); $215,200 - $245,600 USD base salary (New York, NY); $215,200 - $245,600 USD base salary (San Jose, CA)
Tools
Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, AWS, SQL
AI focus
Develops scalable AI/ML and NLP solutions, including adapting and fine-tuning LLMs for customer-facing features; the posting also describes training language or large computer vision models and expertise in areas such as training optimization, self-supervised learning, explainability, or RLHF.
Model-written summary · the original posting is authoritative