The opportunity
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…
What you'll do
Build and operate the petabyte-scale data systems and ML pipelines at the: heart of Waymo's foundation model development
Shepherd cutting-edge foundation models from research prototypes to robust components within the Waymo Driver
Develop automated, high-performance infrastructure to ensure the dependable: and efficient rollout of data solutions at the forefront of Waymo foundation model program
Wield large-scale compute and frameworks like Flume/Beam and JAX to process: massive datasets for training, evaluating and deploying complex models
Drive significant leaps in the speed, reliability, and efficiency of the end-to-end ML development lifecycle
Partner with experts in AI Foundations, ML, and Platform to transform model: innovations into tangible improvements to Waymo’s product
What they're looking for
- Undergraduate degree in Computer Science, Machine Learning, Robotics, similar: technical field of study, or equivalent practical experience
- Proficiency in Python and C++
- Experience building or maintaining large-scale data pipelines or ML: infrastructure (e.g., Flume, Spark, Borg, Kubeflow)
- Strong hands-on SWE skills, able to drive development of large, complex shared codebases