Senior Machine Learning Engineer - Simulation Scenario Generation

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

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Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

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Deadline

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About this role

Senior Machine Learning Engineer - Simulation Scenario Generation Foster City, CA Do you enjoy applying machine learning to complex, real-world problems in autonomous vehicle testing? The Simulation Scenario Generation team is looking for a ML Engineer to enable next-generation scalable AV scenario creation workflows. This ranges from generating large-scale traffic simulations to extending our agentic AI system to assist in synthetic scenario creation from a natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation. Do you enjoy applying machine learning to complex, real-world problems in autonomous vehicle testing? The Simulation Scenario Generation team is looking for a ML Engineer to enable next-generation scalable AV scenario creation workflows. This ranges from generating large-scale traffic simulations to extending our agentic AI system to assist in synthetic scenario creation from a natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation. In this role, you will: - Contribute to tooling for AI-based scenario understanding and validation. - Synthesize realistic AV simulation scenarios with dynamic (e.g., traffic) and static features. - Integrate and validate LLMs/VLMs and implement other models for complex scenario generation workflows, leveraging techniques like agentic tool use. - Collaborate directly with internal customers and partner teams to provide generative AI solutions for their test creation workflows. - Directly contribute to the safety and reliability of Zoox's autonomous software. Qualifications - MS or PhD in Computer Science,

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