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
We prefer:
PhD in a quantitative field
Experience solving problems related to Autonomous Driving or Ride Hailing
Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction
