Waymo is looking to rigorously evaluate the performance of its autonomous driving technology to improve safety, compliance, and driving quality.
Requirements
- 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
- Experience with Advanced Machine Learning (Deep Learning and Diffusion models)
- Experience with Traffic Modeling, Safety Evaluation or Prediction
- Experience solving problems related to Autonomous Driving or Ride Hailing
- PhD in a quantitative field (Statistics, Mathematics, Physics)
Responsibilities
- 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
- Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods
- 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
- Mentor other data scientists and provide constructive technical feedback within the team and across Waymo
Other
- Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)
- 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience
- Demonstrated track record of independently driving data science projects to deliver business value
