Perception ML Engineer

Job description

Waymo is hiring a Perception ML Engineer (Full-time) hybrid. This machine learning engineer role is part of the AI hiring market in San Francisco (California). 3D perception and sensor fusion for autonomous vehicles — Mountain View HQ. Listed compensation: $175k – $245k / year. Stack: Computer vision, Autonomy, Python, C++.

Machine Learning Engineer profiles are in high demand in San Francisco: San Francisco and the Bay Area host the largest share of US AI hiring: LLM, MLOps, foundational research, and GenAI products. OpenAI partners, Databricks, Scale AI, and hundreds of…

The team

Waymo — AI team

Responsibilities

• Deliver production ML/LLM capabilities with measurable quality bars
• Partner with product and infra on roadmap and reliability
• Document evals, monitoring, and rollout practices

Requirements

• 3+ years shipping ML, LLM, or data systems in production
• Strong Python or TypeScript and clear written communication
• Comfort with responsible AI and operational excellence

Tech stack

Benefits

Hiring process

1. 1Recruiter screen
2. 2Technical interview
3. 3Team conversation
4. 4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

Salary guide — Machine Learning Engineer in San Francisco →

FAQ — Perception ML Engineer

What is the salary for Perception ML Engineer at Waymo?

Listed range: $175k – $245k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the Perception ML Engineer role based?

Mountain View, CA, San Francisco (California). Work mode: Hybrid.

How do I apply to Waymo?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0017. Process: Recruiter screen → Technical interview → Team conversation → Offer.

Is Waymo hiring other AI roles?

Waymo (Autonomous systems) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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