Staff/Sr. Staff Machine Learning Engineer - World Modeling, Simulation

About the job

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.

The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing, training, and validation of the Waymo Driver. Our team is a multidisciplinary group of machine learning (ML) engineers, software engineers, and research scientists pushing the boundaries of autonomous systems. We develop industry-leading simulation platforms using large-scale generative and physical world modeling algorithms to model the physical world—encompassing dynamic agents, complex road topologies, multi-modal traffic systems, weather phenomena, and the vehicle’s full sensor suite (Camera, Lidar, Radar).