Senior Machine Learning Engineer, Vehicle Interaction & Behavior Policy ML
Mountain View, California, USA
- Pay
USD 213,000–263,000/yearAnnual period assumed — pay source
Salary Range $213,000—$263,000 USD
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDevelop, evaluate and release learned driving policies for complex navigation and yielding
Turn multi-modal perception outputs into robust driving behaviors
Deploy models in closed-loop simulation and benchmark against strict safety metrics
Drive the move of learned models into production releases
Replace rule-based heuristics with scalable, data-driven learned policies
From the employer’s posting
Develop, evaluate, and release learned driving policies for complex navigation and yielding scenarios.
translating multi-modal perception outputs into robust behavioral actions
Deploy learned models into closed-loop simulation environments, benchmark against strict safety metrics
drive the transition of these models into production releases
Advance the transition from rule-based heuristics to scalable, data-driven learned policies.
Tools in this posting
- PyTorch
Source — Tool mentions in context
- 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 releasing models to production. - Familiarity with Vision-Language-Action (VLA) models and World Models is a strong plus
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 31, 2026 · 59 days ago
- Recorded sightings
- 121
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on careers.withwaymo.com. The employer’s form will show what is required.
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Job description
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 crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
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.
You will:
- 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.
You have:
- 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 releasing models to production.
- 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.
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary Range $213,000—$263,000 USD
- Location & working pattern
Mountain View, California, USA
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. You will:
More source context
- Experience using foundation models and AI tools for scenario generation, evaluation analysis, and rapid experimentation. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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