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(Former) Director of AI at Tesla, OpenAI, PhD @ Stanford. I don't use or check my LinkedIn, I only have an account for searching/hiring. Please use my X/email to contact.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
https://karpathy.ai/
Stanford University
PhD, Computer Science
January 1, 2011 – January 1, 2016
The University of British Columbia
MSc, Computer Science
January 1, 2009 – January 1, 2011
University of Toronto
BSc, Computer Science, Physics
January 1, 2005 – January 1, 2009
Tesla
Sr Director of AI
June 1, 2017 – July 1, 2022
Palo Alto
OpenAI
Research Scientist
January 1, 2016 – June 1, 2017
San Francisco Bay Area
Google DeepMind
Research Intern
June 1, 2015 – September 1, 2015
London, UK
Google Research Summer Intern
June 1, 2013 – September 1, 2013
Mountain View, CA
Stanford University
PhD student
September 1, 2011 – September 1, 2016
Google Research Summer Intern
May 1, 2011 – September 1, 2011
Mountain View, CA
Cultural Fit Analysis
The candidate's background at leading AI organizations (Tesla, OpenAI, Google DeepMind) and top-tier academic institutions (Stanford, UBC, UofT) demonstrates a strong alignment with innovation, cutting-edge research, and high-performance cultures. Their involvement in both fundamental research and large-scale product deployment indicates adaptability and a results-oriented mindset. The diversity of their roles, from research scientist to senior director, suggests a broad perspective on AI development and deployment, which is beneficial for a Director of AI role.
Soft Skills & Operational Fit
The candidate's experience at Tesla and OpenAI suggests strong leadership, strategic thinking, and the ability to operate in fast-paced, high-impact environments. Their role in leading the computer vision team for Autopilot indicates significant project management and cross-functional collaboration skills. The description of their work at OpenAI also highlights early-stage team structuring and recruiting, which are critical for operational fit in a growing AI organization.