Base: $278,400 - $381,300 depending on location; b...
Phd in computer science or related field
Experience building ai foundation models
Hands-on pytorch and aws ultraclusters
This role involves partnering with cross-functional teams to deliver AI-powered products that transform customer interactions with their money
Job Summary
This role involves partnering with cross-functional teams to deliver AI-powered products that transform customer interactions with their money.
Candidates will build AI foundation models through all phases of development, from design to implementation, leveraging technologies like PyTorch and Huggingface.
The position offers the opportunity to represent Capital One as an external leader in the research community while guiding the technical direction of large-scale model training.
Matching Summary
This role involves partnering with cross-functional teams to deliver AI-powered products that transform customer interactions with their money.
Salary
Base: $278,400 - $381,300 depending on location; Bonus/Equity: Performance based incentive compensation available; Benefits: Comprehensive health, financial, and other benefits included
Skills & Requirements
Must-have
PhD in Computer Science or related field
Experience building AI foundation models
Hands-on PyTorch and AWS Ultraclusters
Track record of delivering models at scale
Expertise in training optimization and RLHF
Nice-to-have
First author publications in top-tier venues
Experience with multi-agentic LLMs
Passion for mentoring applied scientists
Ability to translate complex work to business goals
Key Requirements
PhD plus 4 years or MS plus 6 years experience
Core contributor to team training 10B+ parameter LLMs
Publications at ACL, NAACL, EMNLP, Neurips, ICML, or ICLR