Applied AI Foundations Researcher – LLMs & Fine-Tuning

Capital One; San Jose (CA); On-site; USD 286,000 - 327,000; Full time

Benefits offered by this job

Performance-based incentives

Health benefits

Job summary

Capital One in San Jose, CA is seeking an Applied Researcher to lead development of AI foundation models, from design to deployment. You will collaborate with data scientists, software engineers, and product managers to deliver AI-powered banking experiences at scale.

You will translate cutting-edge AI research into production components, optimize training for large models, and influence product strategy with strong technical leadership. This role offers incentives and extensive health benefits.

Qualifications

• PhD or MS with required years in applied research as stated.
• Strong background in large language models and deep learning.
• Experience delivering production-ready ML systems and libraries.

Responsibilities

• Partner with cross-functional team to deliver AI-powered products.
• Build AI foundation models from design through training and deployment.
• Translate research into production-ready components with ML engineering.
• Drive applied research to push advancements into customer experiences.
• Translate complex work into tangible business goals.
• Lead research threads bridging prototypes and production.

Skills

Pytorch

AWS Ultraclusters

Huggingface

Lightning

Cloud computing platforms

ML engineering

Large language models

Training optimization

Self-supervised learning

RLHF

Education

PhD in AI/CS/EE or related fields

MS in AI/CS/EE or related fields with 4 years applied research

Tools

Pytorch

AWS Ultraclusters

Huggingface

Lightning

Cloud computing platforms

Job description

Capital One in San Jose, CA is seeking an Applied Researcher to lead development of AI foundation models, from design to deployment. You will collaborate with data scientists, software engineers, and product managers to deliver AI-powered banking experiences at scale.

You will translate cutting-edge AI research into production components, optimize training for large models, and influence product strategy with strong technical leadership. This role offers incentives and extensive health benefits.