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$182,500–$240,437.
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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
2107 open roles
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Listed pay typically runs
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The Staff Applied Researcher joins the AI Foundations team as an individual contributor to drive strategic direction and mentor applied scientists. This role involves partnering with cross-functional teams of data scientists, software engineers, and product managers to deliver AI-powered products that transform how customers interact with their money. You will build AI foundation models through all phases of development, including design, training, evaluation, validation, and implementation. Key responsibilities include conducting high-impact applied research to push the latest AI developments into next-generation customer experiences. You will leverage a broad technology stack including Pytorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs to extract insights from massive numeric and textual datasets. The work focuses on solving complex business problems by translating technical AI complexity into tangible goals.
Build AI foundation models through all phases of development, including design, training, evaluation, validation, and implementation.
Conduct high-impact applied research to integrate the latest AI developments into next-generation customer experiences.
Use technologies like Pytorch, AWS Ultraclusters, and VectorDBs to extract insights from large numeric and textual datasets.
Partner with cross-functional teams of engineers and product managers to deliver AI-powered platforms and solutions.
Translate complex technical work into tangible business goals for stakeholders.
Guide and mentor a team of applied scientists and their managers on technical direction.
Represent the company as an external leader by collaborating with prominent faculty in the AI research community.
What we're looking for
PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research.
M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research.
Experience building large deep learning models for language, images, events, or graphs.
Expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF.
Experience delivering libraries, platform-level code, or solution-level code to existing products.
Track record of first-author publications or projects improving machine learning ideas.
Experience with training optimization frameworks like DeepSpeed or NeMo (preferred).
Core contributor to a team that trained a large language model from scratch (preferred).
Pytorch
AWS
Huggingface
Lightning
VectorDBs
LLM
NLP
Deep Learning
RLHF
Quantization
Model Sparsification
Training Parallelism
Graph Neural Networks
Sequential Models
Multivariate Time Series
Supervised Finetuning
Instruction-Tuning
Transfer Learning
Tokenization