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
Lead a roadmap to develop methodologies and Key Performance Indicators to: measure the quality, cost efficiency, and business relevance for various behavior evaluation solutions at Waymo.
Directly influence the portfolio of evaluation signals relied on by hundreds: of software engineers to ensure their changes in the Waymo Driver are having positive intended impacts.
Conduct deep dive analysis to understand performance bottlenecks in current: evaluation methodologies, propose and prototype improvements in metrics, sampling strategy, statistical inference, etc.
Become an expert in Waymo’s evaluation ecosystem for onboard software.: Understand how a broad variety of evaluation signals affect Waymo’s launch decisions, develop strategies for evaluating trade-offs, and provide actionable insights for designing launch criteria.
Collaborate with product and engineering teams to build solutions for: assessing Waymo’s evaluation portfolio at scale and accelerate the development for new evaluation.
Collaborate with owners of various evaluation solutions, develop feedback: loops to surface insights on evaluation quality to stakeholders and drive actionable plans for continuous improvement.
What they're looking for
- Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)
- Either a PhD in a quantitative field and 5+ years of industry experience, or: 7+ years of industry experience solving data science problems
- Solid statistical background. Expertise using advanced statistical methods in: an applied setting (e.g., experimentation design, causal inference, etc); familiarity with ML systems/models
- Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL
