About the job
Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, our focus has always been on developing the Waymo Driver—The World’s Most Experienced Driver™—aimed at enhancing mobility access and preventing traffic-related fatalities. With the Waymo Driver, we power a fully autonomous ride-hailing service and cater to various vehicle platforms and applications. Our driver has successfully completed over ten million rider-only trips, with the experience of autonomously navigating over 100 million miles on public roads and simulating tens of billions of miles across more than 15 U.S. states.
The ML Ops team, a vital part of Waymo's Machine Learning Platform, is tasked with creating tools and infrastructure that enable the ML flywheel at Waymo. This entails the development of automation and orchestration solutions that streamline complex ML workflows, ensuring they are both manageable and reliable. Our team collaborates closely with the modeling team to enhance developer velocity.
We are seeking a talented Software Engineer to join our team, focusing on the construction and maintenance of essential data and ML pipelines that drive ML development at Waymo.
In this hybrid position, you will report directly to the Head of ML Platform, who is a Senior Staff Software Engineer.

