Waymo is actively hiring for 4 AI and machine learning positions, primarily in AI/ML Engineer (4) roles. Posted salary ranges span $200K - $259K, with 100% of listings disclosing compensation. The median posted ceiling sits at $208K. The majority of these positions (100%) are listed as remote, with physical offices in Mountain View, CA, US. The most frequently requested skills across these postings are PyTorch, Python, Rust, TensorFlow, AI Agents. Mid-level roles account for 100% of openings.

Skills & Technologies

PyTorch (4)Python (4)Rust (4)TensorFlow (4)AI Agents (3)JAX (2)LangChain (2)Vertex AI (2)

Locations

Mountain View, CA, US

Open Positions (4)

AI/ML Engineer

ML Engineer, Foundation Model Infrastructure

Mountain View, CA, US $204K - $259K
AI/ML Engineer

ML Engineer, Foundation Model Evaluation

Mountain View, CA, US $170K - $216K
AI/ML Engineer

GenAI Engineer

Mountain View, CA, US $158K - $200K
AI/ML Engineer

GenAI Engineer

Mountain View, CA, US $158K - $200K

Frequently Asked Questions

Waymo currently has 4 open AI positions across roles including AI/ML Engineer. The most common positions involve applied machine learning, model development, and AI infrastructure. Check the job listings above for the latest openings and requirements.
AI roles at Waymo range from $200K - $259K based on current job postings. Compensation varies by role type, seniority, and location. Senior and staff-level positions typically fall at the upper end of this range, while mid-level roles cluster near the median. These figures reflect posted salary ranges and may not include equity, bonuses, or signing packages.
The most frequently requested skills in Waymo's AI job postings are PyTorch, Python, Rust, TensorFlow, AI Agents, JAX. Python appears in the majority of listings, reflecting its dominance in the ML ecosystem. Candidates with experience in multiple skills from this list are more competitive, as most roles require a combination of programming, framework, and domain expertise.
Waymo's AI positions are based in Mountain View, CA, US. Location requirements vary by team and role. Some positions may offer hybrid arrangements even if listed as on-site. Check individual job listings for the most current location and remote work policies.

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