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Waymo

Robot type
Autonomous Vehicle
Location
Mountain ViewCaliforniaUSA
Job type
Artificial Intelligence
Posted
Aug 31, 2026
Salary
$213,000–$263,000 a year
Full-time

Senior Machine Learning Engineer, Vehicle Interaction & Behavior Policy ML

Job description

Role overview: Autonomy MLE role focused on bridging perception and planning to develop and release robust learned driving policies. The primary objective of this role is to train, evaluate, and transition production-ready decision-making models into real-world autonomous navigation systems.

In this hybrid role, you will report to the Technical Lead Manager.

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 mobility while saving thousands of lives now lost to traffic…

Job responsibilities

  • 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.

Job requirements

  • 2–5+ 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…
  • 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.
Apply on Waymo websiteSave

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