Lead applied research in AI, guiding strategic direction and mentoring a team of applied scientists across Capital One's AI Foundations team.
Locations (5)
McLean, Virginia, United States
Cambridge, Massachusetts, United States
New York, New York, United States
San Francisco, California, United States
San Jose, California, United States
Compensation
Cambridge, MA: $306,300 - $349,500 for Staff Applied Researcher
McLean, VA: $306,300 - $349,500 for Staff Applied Researcher
New York, NY: $334,100 - $381,300 for Staff Applied Researcher
San Francisco, CA: $334,100 - $381,300 for Staff Applied Researcher
San Jose, CA: $334,100 - $381,300 for Staff Applied Researcher
Responsibilities
Partner with cross-functional teams of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products
Leverage technologies such as Pytorch, AWS Ultraclusters, Huggingface, Lightning to analyze large datasets
Build AI foundation models through design, training, evaluation, validation and implementation
Engage in high impact applied research to advance AI capabilities
Define and steward novel research directions
Requirements
PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields
M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields
Nice to have: PhD focus on NLP
Nice to have: Masters with 10 years of industrial NLP research experience
Partner with cross‑functional teams to deliver AI‑powered products that transform customer interactions and build AI foundation models.
Locations (4)
Cambridge, Massachusetts, United States
McLean, Virginia, United States
New York, New York, United States
San Jose, California, United States
Compensation
The minimum and maximum full-time annual salaries for this role are listed below, by location. Cambridge, MA: $262,500 - $299,600; McLean, VA: $262,500 - $299,600; New York, NY: $286,400 - $326,800; San Jose, CA: $286,400 - $326,800
Responsibilities
Partner with data scientists, software engineers, ML engineers and product managers to deliver AI‑powered products