Six Figure Work

Senior Machine Learning Engineer, Scenes, Traffic Controls

Waymo

Company websitewaymo.com (Waymo, opens in new tab)

Base salary $213K  to $263K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 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.

Driver Refinement and Validation’s (DRV) mission is to build upon the high-quality ML Driver developed by Driver Intelligence, refining its performance to improve autonomous driving in specific, complex real-world contexts and problem areas (e.g., Ride-Hailing contexts). It aims to ensure that the Waymo Driver always computes safe, compliant, comfortable, and useful plans. As a Machine Learning Engineer in DRV, you will bridge the gap between cutting-edge machine learning and real-world vehicle performance, engineering the validation and onboard systems that ensure the autonomous vehicle reliably executes intelligent and predictable maneuvers.

You will:

  • Own ML features for Scene Understanding (traffic controls, signs, special regions such as RRX and flood zones, lane states) end to end: data → model → eval → onboard launch
  • Mine and curate large-scale driving data (real and simulated) to find long-tail failures, build training and eval sets, and design labeling and supervision
  • Design, train, and iterate on model tasks and heads in large multi-task models. Improve calibration, robustness, and generalization to new geographies
  • Build rigorous evaluation: PRT metrics, slicing taxonomies, side-by-sides, and staging launches, and turn the results into launch decisions
  • Integrate models into the onboard stack (C++), combining learned outputs with safe heuristic fallbacks, Mendel-guarded rollouts, and map-contradiction handling
  • Triage real driving events, find the root cause anywhere in the stack, and propose surgical or systemic fixes. Work closely with Perception, Reasoning, Mapping, and ML Infrastructure teams

You have:

  • BS/MS/PhD in CS, EE, Robotics, ML, or a related field, or equivalent practical experience.
  • Hands-on experience shipping ML models to production, including training, offline evaluation, and deployment (L4: 2+ yrs; L5: 4+ yrs, or a PhD plus 2+ yrs)
  • Strong data mining / data engineering: building large-scale batch pipelines (Beam/Flume/Spark or similar) and analytical SQL to find, slice, and curate data
  • Proficiency in Python with a modern DL framework (JAX, TensorFlow, or PyTorch) and production C++
  • Demonstrated cross-stack generalist work: has owned problems that crossed data, model, and systems/serving boundaries
  • Rigorous evaluation instincts: metric design, error analysis and slicing, and A/B or staged rollout

We prefer:

  • AV/Robotics experience, especially perception (detection, classification, tracking)
  • Experience with transformer or temporal models (GRU/RNN), multi-task learning, and model calibration/uncertainty
  • Labeling-pipeline and supervision design; autolabeling or synthetic data
  • TPU/accelerator performance work; exporting models for onboard/edge inference
  • Builds internal tools (visualization, triage, experiment tracking) that accelerate the team

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 67% of the 1,510 Data & ML roles in California listed on this site; 14 others list the same floor. Their median floor is $187,000; the middle half runs from $159,256 to $229,800.

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 7, 2026.

This range next to 6 other live Waymo roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Waymo roles with the nearest advertised base floor
RolePublished base
Senior Machine Learning Engineer, Scenes, Traffic Controls (this listing)$213K - $263K
Senior Software Engineer, Fleet Response Infrastructure$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 Software Engineer, Chassis$213K - $263K
Associate Counsel, Regulatory$213K - $263K

Same $100K to $400K scale as every card. All Waymo roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-22
Where this pay comes from

Location as the employer wrote it: Mountain View, California, United States, San Francisco, California, 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.