General Services
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.
You will
- Design and improve distributed input data pipelines for large-scale machine learning training workloads.
- Collaborate with researchers and machine learning engineers to resolve bottlenecks in data pipeline performance.
- Improve runtime goodput of training workloads by optimizing input data processing systems for scalability and reliability.
- Implement and maintain advanced machine learning infrastructure tools including ML Pathways, Grain, JAX, and TensorFlow.
- Evaluate and integrate modern technologies to enhance the performance and scalability of machine learning systems.
- Promote best practices for distributed systems architecture and contribute to technical leadership within the team.
You have
- Bachelor's degree in Computer Science, Mathematics, or a related field, and 5 years of progressive, post-baccalaureate experience in the job offered or in a Software En