This role pays more than
99%
of similar roles. Most pay
$178,618–$251,521
— the shaded band above.
At the midpoint, this role pays about
$341k
versus about
$215k
for comparable roles.
Based on 240 similar postings.
Employer
About Capital One Financial
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has
998 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 992 roles with salary data.
As a Sr. Staff Applied Researcher on the AI Foundations team, you will drive strategic direction as an individual contributor leader who guides and mentors applied scientists while representing the company in the research community. You will partner with cross-functional teams of data scientists, software engineers, and product managers to build AI foundation models through all phases of development, including design, training, evaluation, validation, and implementation. Your daily work involves conducting high-impact applied research to translate complex technical developments into tangible business goals for customer experiences. To uncover insights within large volumes of numeric and textual data, you will utilize a technology stack featuring PyTorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs. You will solve complex problems involving training optimization, self-supervised learning, robustness, explainability, and RLHF to create reliable systems for managing money.
Build AI foundation models through all phases of development including design, training, evaluation, validation, and implementation.
Conduct high-impact applied research to integrate state-of-the-art AI developments into next-generation customer experiences.
Utilize a broad technology stack including PyTorch, AWS Ultraclusters, HuggingFace, and VectorDBs to analyze large volumes of data.
Partner with cross-functional teams of engineers and product managers to deliver production-ready AI platforms and solutions.
Translate complex technical research into tangible business goals for stakeholders and leadership.
Represent the company as an external leader within the academic and professional AI research community.
Guide and mentor a team of applied scientists on technical direction and project execution.
What we're looking for
A PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields with 6 years of experience in Applied Research.
An M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields with 8 years of experience in Applied Research.
Experience building large deep learning models and expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF.
Hands-on experience developing AI foundation models using open-source tools and cloud computing platforms like AWS Ultraclusters.
Proficiency with a broad technology stack including PyTorch, Hugging Face, Lightning, and VectorDBs.
A track record of research accomplishments such as first-author publications in major venues like NeurIPS, ICML, ICLR, ACL, NAACL, or EMNLP.
Experience managing large-scale model training involving 500+ node GPU clusters and models with 70B+ parameters.
Ability to lead technical direction for research teams and translate complex AI concepts into tangible business goals.