MOUNTAIN VIEW, CALIFORNIA, UNITED STATES. SAN FRANCISCO, CALIFORNIA, UNITED STATES FULL-TIME SOFTWARE ENGINEERING 3598

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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
Waymo has successfully deployed self-driving cars in real-world environments— now, our imperative is to scale this capability. Scale is driven by large models and data, and we are moving to ever-larger models which generalize by being trained on more data. To achieve this, we’re focused on optimizing model inference and training, ensuring these advancements gracefully generalize across multiple platforms.
In this role, you’ll work embedded in an ML Engineering and Modeling team, working hand-in-hand to drive scale and multi-platform support of models. This role requires to follow the latest developments in efficient ML and bring those innovations to Waymo’s production systems.

Please refer the Job description for details