About the position
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 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. TaaS (Transportation as a Service) is responsible for building an amazing user experience and business around the Waymo Driver. We are responsible collectively for Growth, Territory Expansion, Service Quality (including pickup, dropoff and routing), Marketplace (pricing, positioning, matching), and Partnerships / B2B(2C) monetization. Marketplace team builds the core economic engine for Waymo’s commercialization services.
Responsibilities
- Implement and scale the core economic engine for Waymo's ride-hailing commercial services.
- Manage trip requests; match right vehicles to riders; calculate the price of rides; position Waymo’s vehicle for future demands.
- Develop infrastructure for automatically training and deploying sophisticated optimization and prediction ML models to make real-time decisions for pricing, matching, and positioning.
- Develop experimentation, monitoring and analysis infrastructure for analyzing ongoing deployed models.
- Partner with product data scientists to develop and productionize pricing and matching models for Waymo.
Requirements
- BS degree in Computer Science or equivalent practical experience
- 4+ years of experience programming in backend coding languages
- Experience in building backend distributed system.
Nice-to-haves
- Experience in C++
- MS in Computer Science, or equivalent practical experience
- Experience in developing low latency, large-scale, user facing distributed systems
- Experience in developing machine learning/optimization infrastructure and pipelines
- Prior experience building and deploying ML / Optimization models into production environments
- Experience at another Ride hailing or Marketplace company.
Benefits
- Discretionary annual bonus program
- Equity incentive plan
- Generous Company benefits program
