About the job
The Marketplace team builds the core decision systems that keep Waymo running smoothly. They design the algorithms that match riders to vehicles, optimize routing, balance supply and demand, forecast rider demand, and power dynamic pricing. Their work ensures the fleet stays efficient, riders get fast pickups, and the AV network operates safely and profitably across cities.
Responsibilities
Implement and scale the core economic engine for Waymo's ride-hailing commercial services
Developing infrastructure for automatically training and deploying sophisticated optimization and prediction ML models to make real-time decisions for pricing, matching, and positioning
Create experimentation, monitoring and analysis infrastructure for analyzing ongoing deployed models
Partnering with product data scientists to develop and productionize pricing and matching models for Waymo
Qualifications
Minimum
BS degree in Computer Science or equivalent practical experience
4+ years of experience programming in backend coding languages
Experience in building backend distributed system
Preferred
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