Sr. Distinguished Applied Researcher

About the role

The role of Sr. Distinguished Applied Researcher at Capital One involves driving strategic direction through collaboration with Applied Science, Engineering, and Product leaders across Capital One. This role requires guiding and mentoring a team of applied scientists and their managers without being a direct people leader. The ideal candidate must be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community.

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, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
• 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.
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

Qualifications

• PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research
• M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research
• Experience building large deep learning models, expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF
• Absolutely essential: Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
• Multiple publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models
• Experience working 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
• 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. Learn more at the Capital One Careers website.

Pay

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location.