Staff AI Foundations Scientist

Capital One Group; San Jose (CA); In loco; USD 334.000 - 381.000; Tempo pieno

Descrizione del lavoro

Capital One is seeking a Staff Applied Researcher to drive strategic AI research and collaborate with Applied Science, Engineering and Product leaders. You will guide a team of applied scientists without direct people leadership and represent Capital One in the research community.

You’ll work on AI foundation models, leverage PyTorch and cloud platforms, and translate research into scalable product capabilities that impact customer experiences and financial services.

Competenze

• PhD or MS with extensive applied research experience as described in the post.
• Experience building AI foundation models and working with open‑source tools and cloud platforms.
• Strong publication record in AI/ML and related fields is preferred.
• Experience delivering libraries or platform-level code for products.

Mansioni

• Partner with cross‑functional teams to deliver AI-powered products for customers.
• Leverage PyTorch, AWS Ultraclusters, Huggingface, Lightning and similar stacks to extract insights from large data sets.
• Build AI foundation models from design to deployment, including training, evaluation and implementation.
• Lead high‑impact applied research translating state‑of‑the‑art AI into customer-facing capabilities.
• Translate complex research work into tangible business goals and foster collaboration across teams.

Formazione

PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields

MS in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields

Descrizione del lavoro

Capital One is seeking a Staff Applied Researcher to drive strategic AI research and collaborate with Applied Science, Engineering and Product leaders. You will guide a team of applied scientists without direct people leadership and represent Capital One in the research community.

You’ll work on AI foundation models, leverage PyTorch and cloud platforms, and translate research into scalable product capabilities that impact customer experiences and financial services.