<div><span style="font-size:16px;">Do you enjoy applying machine learning to complex, real-world problems in autonomous vehicle testing? The Simulation Scenario Authoring team owns the formats and tools used to create synthetic simulation scenarios. We are looking for a hands-on ML Engineer to integrate, implement, and optimize our next-generation AV scenario generation workflow. This ranges from extending our AI assistant to advancing toward full scenario creation automation from natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation.</span></div><br><br><h3>In this role, you will:</h3><ul><li>Integrate and validate LLMs/VLMs and implement other models for complex scenario generation workflows, leveraging techniques like advanced prompting, agentic tool use, and more. </li><li>Contribute to tooling for AI-based scenario understanding and validation.</li><li>Collect data and design metrics to drive business intelligence, product iteration, and model fine-tuning.</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></ul><h3>Qualifications</h3><ul><li>MS or PhD in Computer Science, Machine Learning, or related field</li><li>2+ years of industry experience in Machine Learning</li><li>Solid understanding of LLM or NLP concepts</li><li>Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects</li></ul><h3>Bonus Qualifications</h3><ul><li>Practical experience in dataset creation for fine-tuning, system integration of ML models into production, or optimization techniques for low-latency inference systems</li><li>Familiarity with autonomous vehicles, robotics, and/or complex simulation environments</li><li>Hands-on experience in areas like program synthesis, diffusion models, and/or formal methods/V&amp;V</li><li>Relevant publications in conferences (e.g., CVPR, ICCV, RSS, and/or ICRA)</li></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><span>Do you enjoy applying machine learning to complex, real-world problems in autonomous vehicle testing? The Simulation Scenario Authoring team owns the formats and tools used to create synthetic simulation scenarios. We are looking for a hands-on ML Engineer to integrate, implement, and optimize our next-generation AV scenario generation workflow. This ranges from extending our AI assistant to advancing toward full scenario creation automation from natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation.</span></div><br /><br /><h3>In this role, you will:</h3><ul><li>Integrate and validate LLMs/VLMs and implement other models for complex scenario generation workflows, leveraging techniques like advanced prompting, agentic tool use, and more. </li><li>Contribute to tooling for AI-based scenario understanding and validation.</li><li>Collect data and design metrics to drive business intelligence, product iteration, and model fine-tuning.</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></ul><h3>Qualifications</h3><ul><li>MS or PhD in Computer Science, Machine Learning, or related field</li><li>2+ years of industry experience in Machine Learning</li><li>Solid understanding of LLM or NLP concepts</li><li>Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects</li></ul><h3>Bonus Qualifications</h3><ul><li>Practical experience in dataset creation for fine-tuning, system integration of ML models into production, or optimization techniques for low-latency inference systems</li><li>Familiarity with autonomous vehicles, robotics, and/or complex simulation environments</li><li>Hands-on experience in areas like program synthesis, diffusion models, and/or formal methods/V&amp;V</li><li>Relevant publications in conferences (e.g., CVPR, ICCV, RSS, and/or ICRA)</li></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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