Software Engineer, Marketplace Optimization

The Marketplace area scope encompasses everything having to do with making the most of Waymo’s in-service supply and demand. This includes our three primary decision-making systems (Pricing, Matching, Positioning) as well as the set of foundational models that feed into them, the marketplace experimentation and data layer, and the marketplace intelligence layer (our reporting, analytics, and marketplace experimentation suite).

In this hybrid role, you will report to our Senior Software Engineering Manager.

You will:

• Implement and scale the backend for Waymo's core ride-hailing services. This collection of systems manages trip requests; provides APIs to client apps and other services; calculates pickup and ride times; matches right vehicles to riders; calculates the price of rides; positions Waymo’s vehicle for future demands
• Work closely with product data scientists to design and implement various optimizations in the area of matching and pricing for ride-hailing services.
• Develop infrastructure for automatically training and deploying sophisticated optimization and ML models to make real-time decisions for pricing, matching, and positioning. 
• Develop experimentation, monitoring and analysis infrastructure for ongoing deployed models.
• Develop expertise in and make use of various Google technologies, like Borg, Spanner, Flume, and custom-built systems for our specific problems.

You have:

• BS degree in Computer Science or equivalent practical experience
• 3+ years of experience programming in backend coding languages

We prefer:

• 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

#LI-hybrid