<div>The Perception team at Zoox is at the forefront of leveraging GenAI to create synthetic data, unlocking scalable training and evaluation for our autonomous system's perception and entire stack. As a Generative AI Engineer, you will develop and train cutting-edge models for sensor-level scenario generation, utilizing world models and radiance fields techniques with large-scale proprietary data. This role directly impacts the productivity, safety, and capabilities of Zoox's autonomous system by validating algorithms in real-world conditions.</div><br><br><h3>In this role, you will: </h3><ul><li>Define and execute the ML roadmap for synthetic data generation using generative AI, evolving both model and infrastructure to meet the training and evaluation needs of Zoox’s autonomous driving solution.</li><li>Lead the development of generative models from small scale objects to complete scenarios, from research all the way to deployment.</li><li>Design effective model architectures and sophisticated training techniques, leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox.</li><li>Collaborate with perception, planning, safety, simulation, and systems teams to integrate your models into our offline pipelines.</li><li>Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system</li></ul><h3>Qualifications: </h3><ul><li>MS or PhD in Computer Science, Machine Learning, or related technical field with 3+ years of industry experience</li><li>Demonstrated experience architecting, training and deploying large models such as diffusion, flow matching, GANs and/or NeRFs.</li><li>Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation</li><li>Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects</li><li>Experience training with large scale datasets (e.g. tens of millions of videos)</li></ul><h3>Bonus Qualifications: </h3><ul><li>Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)</li><li>Experience with autonomous robotics systems</li><li>Experience implementing 4D Gaussian Splatting</li></ul><br>

<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 - Generative AI

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Zoox

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