Job brief: Senior Machine Learning Engineer, Predictive Planner, Systems Arch

What JoRoute checked · Checked by JoRoute

• Listed on Waymo's own job board. JoRoute does not take listings from job ads or recruiters.
• First seen by JoRoute 2026-11-04 (3 days ago); last confirmed on the board 2026-11-06.
• The apply link opens careers.withwaymo.com, the address Waymo's board gives for this job.
• No other listing with this title and place on this board in the last 90 days.
• No layoff notices (WARN) under this name in the state files JoRoute reads.

What the listing says · Employer's own words, not checked

• Pay: $213,000 to $263,000 a year
• Job type: Not stated
• Where: Mountain View, CA, USA; San Francisco, CA, USA · Mountain View (US-MTV-EMF680) · San Francisco (US-SFO-MKT555)
• Posted: 2026-09-10

What the job asks · Employer's own words, not checked

Level: Senior. The title says "Senior".

Must have

• 4+ years of experience in Machine Learning modeling and/or Autonomous Vehicles systems

Main duties

• Tackle challenging real-world problems with ML and engineering solutions.
• Use state of the art techniques to design and build ML models, deploy them in the real world on production vehicles
• Design and build the necessary architectures, algorithms, pipelines and evaluation systems on Google's extensive data infrastructure
• Collaborate with researchers, product area owners and engineers to develop safe, smooth planning behavior for all road users & deliver product requirements.
• Bachelors in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience

Lines copied from the posting, not rewritten. "Preferred" or "nice to have" items are not listed as must-haves.

How it compares · Compared by JoRoute from listings

• Typical listed pay for engineer jobs in San Francisco, CA: $193k a year (679 listings, 42 employers). This listing is 24% higher.
• Across Waymo's 313 open listings, 52% of those with a posting date were first posted more than 60 days ago. How Waymo hires

What nobody outside the employer knows · Not known

• Whether the role is already filled or on hold: employers often leave listings up.
• How many people applied, and who reads the applications.
• Where in the published range an offer would land.

Ask before you apply

1. Which of the listed places is this role based in?
2. What are the interview steps, and when should I expect to hear back?

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Next steps

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