Job brief: Senior Machine Learning Engineer, Multimodal Perception

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 (2 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, California, USA · Mountain View (US-MTV-EMF680)
• Posted: 2026-08-31 · over 60 days ago

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

Level: Senior. The title says "Senior".

Must have

• 2–5+ years training and deploying production vision or multi-modal deep learning models.

Conditions

• In this hybrid role, you will report to the Technical Lead Manager of the Special Vehicle Compliance team.

Main duties

• Architect, train, and optimize multi-task deep learning models (PyTorch / JAX) across multi-modal sensor streams.
• Build automated data mining pipelines, active learning loops, hard-example curation, and auto-labeling systems.
• Develop high-resolution vision architectures and spatial-temporal transformer backbones.
• Leverage multimodal foundation models for automated data curation, synthetic edge-case generation, and failure triage.
• Profile and optimize models for efficient onboard accelerator inference.

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 Mountain View, CA: $238k a year (220 listings, 3 employers). This listing pays about the same.
• 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. 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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