Peter Dolan is a research engineer and manager with 12 years of experience leading ML teams to turn cutting-edge research into production impact, particularly in offline RL, safety, robustness, exploration, counterfactual estimation, and ML-for-systems. He has led and scaled teams at DeepMind, Waymo, and OpenAI, delivering high-stakes safety and simulation systems and managing organizations of 20+ engineers and researchers. Known for bridging deep research and practical deployment, he has driven billion-dollar incremental improvements and built high-performance learned simulators for long-tail, out-of-distribution safety scenarios. Based in Mountain View, he combines hands-on technical depth with program and engineering leadership—from founding PM and engineering functions at Nuna to managing AI safety teams. Unusually, he pairs rigorous mathematics training with a playful curiosity (cats in space), signaling both analytical rigor and a culture-minded leadership style.
11 years of coding experience
19 years of employment as a software developer
BA Mathematics, BA Mathematics at University of California, Berkeley
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.