Staff Software Engineer, Machine Learning, Planner Selection

The Waymo Strategic Selection team is responsible for the critical, real-time decision-making systems that guide the Waymo Driver through complex urban environments. Operating on a horizon of approximately 60 seconds into the future, this team bridges the gap between high-level routing and immediate tactical maneuvers, ensuring safe, comfortable, and efficient trajectories. In this role, you will focus on developing generalized ML models capable of handling a wider range of complex driving situations.

In this role, you will report into a TLM of Planner Technology.

You will:

• 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.

You have:

• 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

We prefer:

• AV or Robotics experience
• 8+ years of Software Engineering experience in complex systems