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 DUE Signal team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you!

You will:

• Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation.
• Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving.
• Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc.
• Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders.
• Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo’s simulation software; facilitate deployment readiness decisions for both products.

You have:

• Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)
• 3+ years of industry experience solving data science problems or a PhD in a quantitative field
• Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models
• Demonstrated knowledge of Python/SQL/R data analysis libraries and packages
• Writing, reviewing, and merging code following industry standards for code health and maintainability

We prefer:

• Experience solving problems related to Autonomous Driving or Ride Hailing
• Experience building and validating metrics to measure quality in complex systems