AI Foundations: Applied Researcher I

Capital One; New York (NY); On-site; USD 239,000 - 272,000; Full time

Job summary

Capital One seeks an Applied Researcher I in New York, NY to advance AI foundation models and scalable ML infrastructure. You will collaborate with data scientists, software engineers, and product managers to deliver AI-powered customer experiences and apply cutting-edge research to banking problems.

You will work with PyTorch, HuggingFace, AWS, and vector databases to push the state of the art, publish results, and influence product strategy, while mentoring teammates and owning research

Qualifications

• : Currently pursuing or have PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields; exception for MS + 2 years of applied research.
• : PhD preferred in CS/ML/EE or related fields.
• : Experience building large DL models, training optimization, and RLHF.
• : Track record of publishing or delivering ML research into products.

Responsibilities

• : Partner with cross-functional team to deliver AI-powered products.
• : Leverage PyTorch, AWS Ultraclusters, HuggingFace, Lightning, VectorDBs, etc.
• : Build AI foundation models end-to-end from design to deployment.
• : Engage in applied research to push AI into customer experiences.
• : Translate complex work into tangible business goals.

Skills

AI foundation models

Open-source languages

Cloud computing

PyTorch

Research leadership

Education

PhD (CS/EE/AI)

MS + 2 years applied research

Tools

HuggingFace

VectorDBs

AWS

Lightning

Job description

Capital One seeks an Applied Researcher I in New York, NY to advance AI foundation models and scalable ML infrastructure. You will collaborate with data scientists, software engineers, and product managers to deliver AI-powered customer experiences and apply cutting-edge research to banking problems.

You will work with PyTorch, HuggingFace, AWS, and vector databases to push the state of the art, publish results, and influence product strategy, while mentoring teammates and owning research