Job brief: Senior Machine Learning Engineer, Fleet Monitoring & Response

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 (4 days ago); last confirmed on the board 2026-11-08.
• 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: San Francisco, CA; Mountain View, CA, USA · Mountain View (US-MTV-EMF680) · San Francisco (US-SFO-MKT555)
• Posted: 2026-05-18 · over 60 days ago

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

Level: Senior. The title says "Senior".

Must have

• 6+ years of experience programming in backend coding languages such as Java or C++.

Main duties

• Design, scale, and optimize Waymo's real-time Fleet Monitoring and event response engine to support expansion to global operating locations.
• Develop and deploy spatial-temporal anomaly detection models (e.g., S2-cell statistical regressions) and leverage Multimodal Foundation Models (Gemini/VLMs) …
• Build and standardize the ML infrastructure for fleet monitoring models, including automated training/inference pipelines, low-latency spatial data stores (e…
• Partner with Product Data Scientists to productionize, evaluate, and scale experimental models, translating notebooks and prototype algorithms into productio…
• BS degree in Computer Science 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 (632 listings, 42 employers). This listing is 24% higher.
• Across Waymo's 317 open listings, 50% 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. Is this role still open, and when do you hope to fill it?
2. Which of the listed places is this role based in?
3. What are the interview steps, and when should I expect to hear back?

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Next steps

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