Machine Learning Engineer, Depot Automation

Waymo•Mountain View, CA

3d•Hybrid

About The Position

This role is at the intersection of robotics and machine learning, driving the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet. You will lead efforts to generalize complex depot operations—such as exterior cleaning, sensor calibration, and maintenance checks—using advanced robotics. Key work involves leveraging foundation models, reinforcement learning, simulation, and integrating ML models in production at scale. You will interface closely with operations teams to translate real-world needs into robust, working solutions. This role follows a hybrid work schedule and reports to a Director, Hardware and Sensors.

Requirements

3+ years of experience in training and evaluating large machine learning models
3+ years of experience with robotics, preferably industrial robotics
Expertise in reinforcement learning and its applications to real-world problems

Nice To Haves

A PhD in Machine Learning, Robotics, or a related technical field or equivalent experience
Experience with applying machine learning techniques to large-scale industrial problems is a plus
Background in collaborating with internal and external research partners on applying ML to large-scale industry scale problems

Responsibilities

Drive the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet
Contribute to accomplishing complex depot operations using advanced robotics
Focus on complex depot operations, such as charging, interior cleaning, vehicle inspection, and routine vehicle maintenance tasks
Leverage foundation models, reinforcement learning, and simulation
Integrate ML models in production at scale
Interface closely with operations teams to translate real-world needs into robust, working solutions