Capital One · 3 months ago
Sr. Distinguished Applied Researcher
Cambridge, MA
Full-time
Onsite
Senior Level, Lead/Staff
$343K/yr - $392K/yr
6+ years expCapital One is a leading financial services company that is transforming banking through innovative AI systems. The Sr. Distinguished Applied Researcher will play a crucial role in delivering AI-powered products and engaging in high-impact applied research to enhance customer experiences with the company's services.
Financial Services
Responsibilities
Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Qualification
Required
PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research
Has a deep understanding of the foundations of AI methodologies
Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF
An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes
Experience in delivering libraries, platform level code or solution level code to existing products
A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
Preferred
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
LLM
PhD focus on NLP or Masters with 10 years of industrial NLP research experience
Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
Has worked on an LLM (open source or commercial) that is currently available for use
Demonstrated ability to guide the technical direction of a large-scale model training team
Experience working with 500+ node clusters of GPUs
Has worked on LLM scaled to 70B parameters and 1T+ tokens
Experience with common training optimization frameworks (deep speed, nemo)
Benefits
Capital One offers 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 (723)
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
2026-01-13
Company data provided by crunchbase