Waymo is an autonomous driving technology company with the mission to be the 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 mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

Waymo’s Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.

In this hybrid role, you will report to a Product Data Science Lead, Optimization.

You will:

• Partner with Engineer, Product and Data Science teams to develop Matching and Positioning models for Waymo
• Apply Machine Learning models to predict the customer wait times and build better understanding of vehicle values in different positions
• Apply optimization models to optimize assignment of Waymo cars to customers or positioning locations
• Define, conduct and evaluate experiments on new models
• Present on a regular basis to Waymo leadership

You have:

• Statistical knowledge
• Coding skills (Python and SQL)
• Experience with machine learning
• Experience with Reinforcement Learning models
• Experience with experimentation
• 4+ years of industry experience

We prefer:

• Experience with optimization modeling and implementation using solver packages (e.g. CP-SAT, CPLEX, Gurobi, etc…)
• Experience with optimization
• Experience at another Ride hailing or Marketplace company

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. 

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.