Zoox AI Jobs - 3 Open Positions

Zoox is actively hiring for 3 AI and machine learning positions, primarily in AI/ML Engineer (3) roles. Posted salary ranges span $276K - $276K, with 100% of listings disclosing compensation. The median posted ceiling sits at $276K. Positions are based in Foster City, CA, US, Seattle, WA, US, Boston, MA, US. The most frequently requested skills across these postings are Go, JAX, PyTorch, Python, RAG. Senior-level roles account for 100% of openings.

Skills & Technologies

Go (3)JAX (3)PyTorch (3)Python (3)RAG (3)Rust (3)TensorFlow (3)

Locations

Foster City, CA, US, Seattle, WA, US, Boston, MA, US

Open Positions (3)

AI/ML Engineer

Senior Machine Learning Engineer - Autonomy Validation

Foster City, CA, US $229K - $276K

AI/ML Engineer

Senior Machine Learning Engineer - Autonomy Validation

Seattle, WA, US $229K - $276K

AI/ML Engineer

Senior Machine Learning Engineer - Autonomy Validation

Boston, MA, US $229K - $276K

Frequently Asked Questions

Zoox currently has 3 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 Zoox range from $276K - $276K 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 Zoox's AI job postings are Go, JAX, PyTorch, Python, RAG, Rust. 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.

Zoox's AI positions are based in Foster City, CA, US, Seattle, WA, US, Boston, MA, 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.