TLM - Marketplace Optimization - ML Infra

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.

Our team functions as the core intelligence for the Waymo platform, designing and implementing the sophisticated algorithms for rider vehicle matching, dynamic pricing, efficient routing, and predictive supply demand balancing. Their work ensures riders are connected with the optimal Waymo vehicle efficiently, safely, and with minimized wait times.

You will:

• Lead a growing team of 5-6 junior and senior engineers to implement and scale ML infrastructure for Waymo's core economic engine of ride-hailing commercial services. This collection of systems manages trip booking requests; match right vehicles to riders; calculate the price of rides; positions Waymo's vehicle for future demands.
• Create ML infrastructure for automatically training and deploying 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.
• Build simulation infrastructure for all marketplace optimization and ML model development.

You have:

• BS degree in Computer Science or equivalent practical experience
• 6+ years of experience programming in backend coding languages
• 2+ years of people management experience
• Technical leader experience
• Experience building backend applications and API

We prefer:

• BS degree in Computer Science or equivalent practical experience.
• 6+ years of experience programming in backend coding languages.
• 2+ years of people management experience.
• Technical leader experience.
• Experience building backend applications and API.