Machine Learning Engineer, Runtime & OptimizationPosted today$81K

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

  • Lead the collaboration with the world-class Waymo ML scientists in: perception, planner, research and simulation. Identify opportunities in both systems and models to make ML workloads faster.

  • Lead projects from proposals through execution by developing junior engineers.

  • Analyze and improve ML system workloads on both cloud and self-driving cars .

  • Apply model optimization, efficient deep learning techniques and ML software: improvements to Waymo's ML systems.

  • M.S. in CS, EE, Deep Learning or a related field

  • + years of experience as a technical lead, including writing project plans,: engaging with customer teams, mentoring, responsible for goals & execution, reporting status.

What they're looking for

  • + years of experience developing solutions in ML systems or ML software stack: (Pytorch/JAX/TF, runtime libraries, ML compiler).
  • Deep understanding of ML system architecture, performance analysis and tools.
  • Strong Python or C++ programming skills
  • PhD in CS, EE, Deep Learning or a related field.
Machine Learning Engineer, Runtime & Optimization at Waymo | Role Match