Senior Machine Learning Engineer, Driving Behaviors

• 5+ years ML modeling experience in production environments at large scale
• Solid understanding of physics, geometry, and dynamics
• Proficiency in C++ and Python
• Ability to learn and utilize new frameworks quickly, employing AI tools or otherwise
• Proven ability to work cross functionally with both Product and Engineering stakeholders

We prefer:

• Experience working with ML models for autonomous systems
• Proficiency in SQL

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

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.

Waymo’s Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We’re looking for talented teammates who’ll help us maintain strong teamwork and are passionate about driving results.

This role follows a hybrid work schedule and reports to an Engineering Manager.

You will:

• Lead ML model development end-to-end for safety critical driving behaviors to evaluate and enhance the performance, safety and scalability of our self driving system
• Design experiments and assess results to make clear data-driven decisions
• Find new ways to gather the required data needed to improve our models and improve data quality
• Communicate benefits and limitations of new models and metrics to partner teams
• Integrate and deploy metrics and models on fleet-wide data
• Be able to operate on both tactical and strategic timescales