The opportunity
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to…
What you'll do
Develop, evaluate, and release learned driving policies for complex navigation and yielding scenarios.
Work cross-functionally at the intersection of perception and planning,: translating multi-modal perception outputs into robust behavioral actions.
Deploy learned models into closed-loop simulation environments, benchmark: against strict safety metrics, and drive the transition of these models into production releases.
Advance the transition from rule-based heuristics to scalable, data-driven learned policies.
–5+ years experience training and releasing ML models in autonomous driving, robotics, or complex spatial AI.
Hands-on experience working across both perception and planning stacks.: Proficiency in learned driving policies (RL / imitation learning), PyTorch / JAX, closed-loop simulator evaluation, and a track record of releasing models to production.
What they're looking for
- Familiarity with Vision-Language-Action (VLA) models and World Models is a strong plus
- Experience using foundation models and AI tools for scenario generation,: evaluation analysis, and rapid experimentation.
