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
World Model Eval
Safety Eval Tech
Data Science Safety
Driving Quality Data Science
Simulation Data Science
Analyze large-scale on-road and simulation data to build metrics, statistical: models, and predictive features that quantify the Waymo Driver's safety and driving quality performance
What they're looking for
- Develop and validate statistical / ML methodology: estimation, uncertainty quantification, sampling, and extrapolation — to use or evaluate large-scale foundation models and draw reliable conclusions about rare and critical events from limited data
- Build tools and pipelines that turn one-off analyses into repeatable: workflows, partnering with engineering teams to automate data exploration, triage, and reporting
- Pursuing PhD in a quantitative field (e.g. Statistics, Computer Science,: Mathematics, Physics, Engineering, Computational Social Science)
- Proficiency in programming with Python (or R), including data manipulation, wrangling, and visualization
