2 months ago
Base Salary
$213k - $263k/yr
Responsibilities
- Develop, evaluate, and release learned driving policies for complex navigation and yielding scenarios.
- Translate multimodal perception outputs into robust behavioral actions across perception and planning stacks.
- Deploy learned models into closed-loop simulation environments and benchmark them against strict safety metrics.
- Transition validated learned models into production autonomous navigation releases.
- Advance the transition from rule-based heuristics to scalable, data-driven learned policies.
- Collaborate cross-functionally at the intersection of perception and planning.
Requirements
- 2–5+ years of experience training and releasing ML models in autonomous driving, robotics, or complex spatial AI.
- Hands-on experience across both perception and planning stacks.
- Proficiency with learned driving policies using reinforcement learning or imitation learning.
- Experience with PyTorch or JAX, closed-loop simulator evaluation, and production model releases.
- Familiarity with Vision-Language-Action models and World Models is a strong plus.
- Experience using foundation models and AI tools for scenario generation, evaluation analysis, and rapid experimentation.
Benefits
- Eligibility for Waymo’s discretionary annual bonus program, equity incentive plan, and company benefits program, subject to eligibility requirements.
- Full-time hybrid position; specific salary range may vary by work location and remote-location eligibility.
Tech Stack
Categories
ML EngineeringRobotics
About Waymo
Waymo develops the Waymo Driver, a full-stack autonomous driving system, and operates the Waymo One robotaxi service that offers paid, driverless rides in select U.S. cities. The company monetizes through ride-hailing fares and partnerships integrating its technology on multiple vehicle platforms. Founded in 2009 as Google’s self-driving project, Waymo is headquartered in Mountain View and is an Alphabet subsidiary, with over 10 million rider-only trips and 100+ million autonomous miles on public roads.