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$185,500–$241,906.
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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
2107 open roles
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Listed pay typically runs
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The Sr. Staff Applied Researcher joins the AI Foundations team to drive strategic direction as an individual contributor leader. In this role, you will partner 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. Your daily work involves leveraging a broad stack of technologies including Pytorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs to extract insights from massive numeric and textual datasets. You will engage in high-impact applied research to push the latest AI developments into next-generation customer experiences, focusing on large deep learning models, training optimization, self-supervised learning, robustness, explainability, and RLHF.
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 Huggingface to extract insights from large volumes of numeric and textual data.
Partner with cross-functional teams of data scientists, engineers, and product managers to deliver AI-powered platforms.
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 in the research community by collaborating with prominent academic faculty members.
What we're looking for
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 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.
Ability to own a research agenda and autonomously carry out long-running projects.
Experience with Pytorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs.
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
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