Staff Software Engineer, Machine Learning, Planner Selection
About The Position
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. In this hybrid role, you will report into a TLM of Planner Technology.
Requirements
- Masters or PhD degree in Computer Science, Machine Learning or a similar discipline.
- Proficiency in C++ or Python
- Experience with Machine Learning models in production systems
Nice To Haves
- AV or Robotics experience
- 8+ years of Software Engineering experience in complex systems
Responsibilities
- Investigate driving behavior issues from logs and understand the root cause
- Improve performance of the state of the art ML models in Planner
- Develop foundational frameworks that help advancement of the Waymo Driver's capabilities.
- Expand the impact of ML models while preserving interpretability and behavioral guarantees
- Directly contribute to solving some of the most challenging driving situations in the long tail.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
