Research Scientist, RL for Autonomous Planning & World Modeling

Waymo, Mountain View, CA +7

The role

In this hybrid role, you will report to a Principal Scientist.

Participate in Waymo’s Foundation World Model post-training and evaluation
Research and develop cutting edge RL and Distillation techniques for Autonomous Vehicle Trajectory Planning
Integrate emerging research from the broader AI community into Waymo’s internal RL infrastructure, conducting rigorous ablations to identify and scale the most promising methods
Partner with engineering and research teams across Waymo to share recipes, techniques, and post-training best practices to accelerate our collective know-how

PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field; with 3+ years of industry or post-doc research experience in Reinforcement Learning or Foundation Models

Waymo, Mountain View, CA +7

In this hybrid role, you will report to a Principal Scientist.

Participate in Waymo’s Foundation World Model post-training and evaluation
Research and develop cutting edge RL and Distillation techniques for Autonomous Vehicle Trajectory Planning
Integrate emerging research from the broader AI community into Waymo’s internal RL infrastructure, conducting rigorous ablations to identify and scale the most promising methods
Partner with engineering and research teams across Waymo to share recipes, techniques, and post-training best practices to accelerate our collective know-how

PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field; with 3+ years of industry or post-doc research experience in Reinforcement Learning or Foundation Models