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
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.
Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)
What they're looking for
- + 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
- PhD in a quantitative field
