Capital One · 6 hours ago
Principal Data Scientist, AI Foundations
San Jose, CA
Full-time
Onsite
Senior Level, Lead/Staff
$159K/yr - $181K/yr
5+ years expCapital One is a Fortune 200 company and a leader in data-driven decision-making. As a Principal Data Scientist, you will lead the development of AI/ML solutions to enhance customer experiences and drive innovation in financial services.
BankingCredit CardsFinanceFinancial Services
Responsibilities
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features
Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Qualification
Required
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF
You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes
You have experience in delivering libraries, platforms, or solution level code to existing products
Preferred
Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
Experience working with AWS
At least 3 years' experience in Python, Scala, or R
At least 3 years' experience with machine learning
At least 3 years' experience with SQL
Benefits
A comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Company
Capital One
Capital One is a financial services company that provides banking, credit card, auto loan, savings, and commercial banking services.
10001+ employees
H1B Sponsorship
Capital One has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (573)
2024 (488)
2023 (545)
2022 (909)
2021 (672)
2020 (944)
Funding
Current Stage
Public CompanyTotal Funding
$5.45BKey Investors
Berkshire Hathaway
2025-09-11Post Ipo Debt· $2.75B
2025-01-30Post Ipo Debt· $1.75B
2023-05-15Post Ipo Equity· $954M
Leadership Team
Lo Li
CTO, Managing Vice President Retail Bank
Daniel Arellano
Senior Vice President, Business Cards and Payments
Recent News
2025-12-29
2025-12-26
The Harvard Law School Forum on Corporate Governance
2025-12-20
Company data provided by crunchbase