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 Waymo ML Infrastructure team accelerates Waymo's mission by building the best ecosystem for sustainably building and shipping ML-powered intelligence. We provide the best solutions for the entire model development lifecycle, collaborating closely with Google. Developer productivity, scale, and efficiency are core tenets. In this hybrid role, you will report to a Senior Software Engineer, Technical Lead Manager.
Responsibilities
Report to the TLM for the ML Tooling team
Deploy Agentic Workflows to automate ML workflows
Integrate Agnetic AI into existing ML toolings to add new functionalities.
Work with ML Engineers to identify and resolve workflow difficulties through UX, automation, and agents
Qualifications
Minimum
BS in Computer Science, Robotics, a similar technical field of study, or equivalent practical experience
Experience with building and deploying AI Agents for workflow automation
High customer focus and ability to incorporate user feedback into designs and improvements
Preferred
3 years of professional experience building and maintaining ML platforms
Proficiency developing large-scale jobs and backend servers in C++ or Python
Proficiency developing web frontends in TypeScript/Angular