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About the Role

This leadership role involves driving strategic direction for AI initiatives by collaborating with Applied Science, Engineering, and Product teams. You will mentor a team of applied scientists, represent the company in the research community, and partner with academic faculty to build trustworthy, high-performance AI systems that enhance customer experiences.

Responsibilities

• Partner with cross-functional teams of scientists, engineers, and product managers to deliver AI-powered platforms and solutions.
• Build AI foundation models through all phases of development, including design, training, evaluation, validation, and implementation.
• Engage in high-impact applied research to integrate emerging AI developments into next-generation customer experiences.
• Leverage a broad technology stack to extract insights from large volumes of numeric and textual data.
• Translate complex technical work into tangible business goals.
• Guide and mentor a team of applied scientists.
• Represent the company in the research community and collaborate with prominent faculty members.

Requirements

• PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields with 6 years of experience in Applied Research.
• MS in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields with 8 years of experience in Applied Research.
• At least 5 years of people leadership experience.
• Hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
• Deep understanding of AI methodology foundations.
• Experience building large deep learning models (language, images, events, or graphs).
• Expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF.
• Track record of delivering models at scale regarding training data and inference volumes.
• Experience delivering libraries, platform-level code, or solution-level code.
• Track record of new ideas or improvements in machine learning, demonstrated by publications or projects.
• Ability to own and pursue a research agenda and carry out long-running projects.

Skills

• Pytorch
• AWS Ultraclusters
• Huggingface
• Lightning
• VectorDBs
• Deep learning
• Large language models
• Training optimization
• Self-supervised learning
• Model robustness
• Explainability
• RLHF

Location

• Cambridge, MA
• McLean, VA
• New York, NY
• Richmond, VA
• San Francisco, CA

Work Type

• Full-time

Experience Level

• Senior Director

Education Level

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

Salary/Compensations

• Sales Territory: $318,100 - $363,100
• Cambridge, MA: $350,000 - $399,500
• McLean, VA: $350,000 - $399,500
• New York, NY: $381,800 - $435,700
• Richmond, VA: $318,100 - $363,100
• San Francisco, CA: $381,800 - $435,700

Benefits

• Performance-based incentive compensation including cash bonuses and long-term incentives
• Comprehensive health and financial benefits
• Visa sponsorship for qualified applicants

About the Company

• Capital One is an industry leader in using machine learning to create real-time, intelligent, automated customer experiences.
• The company is committed to building world-class applied science and engineering teams to deliver breakthrough product experiences.

Equal Opportunity

• Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
• Promotes a drug-free workplace.
• Considers qualified applicants with a criminal history in a manner consistent with applicable local laws.