Best suited to mid-level backend engineers with experience in ML/Optimization platforms working in ride-hailing or marketplace domains.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Waymo
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’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Platform team is part of the Marketplace engineering: we provide specialized business platforms supporting Marketplace ML and Optimization products. We own and host core ML models used throughout the Marketplace; we automate all parts of the model life cycle, such as feature engineering, training workflows and inference services; we are working on next-generation Marketplace Simulation system capable to run high-fidelity virtual experiments; we also streamline diverse Marketplace Experimentation practices with the goal of providing unified user-friendly Experimentation platform
You will:
Implement and scale the core economic engine for Waymo's ride-hailing commercial services.
Work on novel experimentation, simulation and analysis infrastructure supporting Marketplace product data science
You have:
BS degree in Computer Science or equivalent practical experience
4+ years of experience programming in backend coding languages such as Java or C++
Experience in building backend platforms supporting multiple product use-cases/services
Experience working with product data science teams and developing code to automate ML/Optimization product launches
We prefer:
MS in Computer Science, or equivalent practical experience
Experience building and deploying high-fidelity simulation systems running ML/Optimization production code
Experience developing and configuring Experimentation services running concurrent A/B or Switchback experiments
Experience working at another Ride hailing or Marketplace company
Coursework background in experiment design or simulation systems
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range$175,000—$215,000 USD
Source: Waymo careers