<div>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.</div><br><br><h3>In this role, you will:</h3><ul><div><li>Contribute to tooling for AI-based scenario understanding and validation.</li><li>Synthesize realistic AV simulation scenarios with dynamic (e.g., traffic) and static features.</li><li>Develop, integrate, and validate ML models (including custom models  and off-the-shelf LLMs/VLMs) for complex scenario generation workflows, leveraging techniques like agentic tool use. </li><li>Collaborate directly with internal customers and partner teams to provide generative AI solutions for their test creation workflows.</li><li>Directly contribute to the safety and reliability of Zoox's autonomous software.</li></div></ul><h3>Qualifications</h3><ul><div><li>MS or PhD in Computer Science, Machine Learning, or related field</li><li>5+ years of industry experience in Machine Learning</li><li>Proficiency in Python and ML libraries (PyTorch, JAX, NumPy, etc.) demonstrated through professional or research projects</li><li>Demonstrated experience in transformer and diffusion architectures</li><li>Practical experience in dataset creation for fine-tuning</li></div></ul><h3>Bonus Qualifications</h3><ul><div><li>Familiarity with autonomous vehicles, robotics, and/or complex simulation environments</li><li>Hands-on experience in areas like program synthesis and/or formal methods/V&amp;V</li><li>Relevant publications in conferences (e.g., CVPR, ICCV, RSS, and/or ICRA)</li></div></ul><br><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

<p>Zoox is developing the first fully electric autonomous vehicles to support low-carbon transportation and to decrease congestion and reliance on individual car ownership in urban areas.&nbsp;</p>

Machine Learning Engineer, Simulation Scenario Generation

<div>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.</div><br /><br /><h3>In this role, you will:</h3><ul><div><li>Contribute to tooling for AI-based scenario understanding and validation.</li><li>Synthesize realistic AV simulation scenarios with dynamic (e.g., traffic) and static features.</li><li>Develop, integrate, and validate ML models (including custom models  and off-the-shelf LLMs/VLMs) for complex scenario generation workflows, leveraging techniques like agentic tool use. </li><li>Collaborate directly with internal customers and partner teams to provide generative AI solutions for their test creation workflows.</li><li>Directly contribute to the safety and reliability of Zoox's autonomous software.</li></div></ul><h3>Qualifications</h3><ul><div><li>MS or PhD in Computer Science, Machine Learning, or related field</li><li>5+ years of industry experience in Machine Learning</li><li>Proficiency in Python and ML libraries (PyTorch, JAX, NumPy, etc.) demonstrated through professional or research projects</li><li>Demonstrated experience in transformer and diffusion architectures</li><li>Practical experience in dataset creation for fine-tuning</li></div></ul><h3>Bonus Qualifications</h3><ul><div><li>Familiarity with autonomous vehicles, robotics, and/or complex simulation environments</li><li>Hands-on experience in areas like program synthesis and/or formal methods/V&amp;V</li><li>Relevant publications in conferences (e.g., CVPR, ICCV, RSS, and/or ICRA)</li></div></ul><br /><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br /></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br /></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br /></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Machine Learning Engineer, Simulation Scenario Generation

About the Job

About the Company

Zoox

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