Sr. Machine Learning Engineer, Marketplace ML Platform
Company websitewaymo.com (Waymo, opens in new tab)
Base salary $213K to $263K
Employer-published annual base salary, USD. Advertised base range in Mountain View, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationMountain View, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
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 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 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.
- Develop high-level infrastructure code for automatically training and deploying sophisticated optimization and prediction ML models to make real-time decisions for pricing, matching, and positioning.
You have:
- BS degree in Computer Science or equivalent practical experience.
- 5+ years of experience programming in backend coding languages such as Java or C++.
- Experience in building backend platforms supporting multiple product use-cases/services.
- Prior Machine Learning Engineering experience in Python using mature ML frameworks such as TensorFlow, PyTorch or Keras.
We prefer:
- MS in Computer Science, or equivalent practical experience.
- Experience building and deploying ML / Optimization models into production environments.
- Experience developing ML data pipelines and ML workflow automation code on top of a mature ML infra.
- Experience working at another Ride hailing or Marketplace company.
- Coursework background in ML and Optimization.
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
$213,000—$263,000 USD
Source: Waymo on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($213,000) is above 66% of the 1,505 Data & ML roles in California listed on this site; 15 others list the same floor. Their median floor is $189,000; the middle half runs from $159,600 to $229,900.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingSr. Machine Learning Engineer, Marketplace ML Platform$213K to $263K
Senior Software Engineer, Fleet Response Infrastructure$213K to $263K
Research Scientist, World Model Post-Training$213K to $263K
Senior Data Scientist, Simulation Capacity Optimization$213K to $263K
Senior Machine Learning Engineer, Vehicle Interaction & Behavior Policy ML$213K to $263K
Research Scientist, Map Scalability$213K to $263K
Senior Machine Learning Engineer, Scenes, Traffic Controls$213K to $263K
Chart as a table
| Role | Published base |
|---|---|
| Sr. Machine Learning Engineer, Marketplace ML Platform (this listing) | $213K - $263K |
| Senior Software Engineer, Fleet Response Infrastructure | $213K - $263K |
| Research Scientist, World Model Post-Training | $213K - $263K |
| Senior Data Scientist, Simulation Capacity Optimization | $213K - $263K |
| Senior Machine Learning Engineer, Vehicle Interaction & Behavior Policy ML | $213K - $263K |
| Research Scientist, Map Scalability | $213K - $263K |
| Senior Machine Learning Engineer, Scenes, Traffic Controls | $213K - $263K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-05-12
Where this pay comes from
Location as the employer wrote it: Mountain View, CA, United States
$213,000—$263,000 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.