Machine Learning Engineer, Marketplace Pricing

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.

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.

The Pricing team drives Waymo's revenue and business strategy by developing dynamic pricing algorithms that balance supply and demand in real-time. They build sophisticated models to set pricing, ensuring the service remains competitive and attractive to riders while maximizing fleet utilization and profitability across all operating markets. Their work is critical to navigating the complexities of ride-hailing dynamics, balancing user price sensitivity with operational efficiency.

You will:

• Implement and scale Waymo's core dynamic pricing engine to drive revenue and business strategy across all operating markets.
• Develop and deploy sophisticated ML models and optimization algorithms to set real-time pricing that balances supply, demand, and user price sensitivity.
• Build and maintain infrastructure for pricing experimentation, monitoring, and analysis to ensure service competitiveness and fleet profitability.
• Partner with product data scientists to productionize innovative pricing models, such as route-specific and session-based pricing solutions.

• BS degree in Computer Science or equivalent practical experience
• 4+ years of experience programming in backend coding languages
• Experience in building backend distributed system
• Experience in developing machine learning/optimization infrastructure and pipelines
• Prior experience building and deploying ML / Optimization models into production environments

Nice to have

• Experience in C++
• MS in Computer Science, or equivalent practical experience
• Experience in developing low latency, large-scale, user facing distributed systems
• Experience at another Ride hailing or Marketplace company