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About the role

Overview: In this role, you will advance 3D vision and simulation using cutting-edge ML, collaborating with researchers and engineers to broaden data fidelity and variability. You will build scalable cloud pipelines and enhance rendering to produce realistic data at scale, supporting Zoox’s autonomous vehicle simulation ecosystem. You will contribute to production-ready techniques for diverse 3D environments, humans, and environmental conditions. This is a fast-moving role at the intersection of robotics, ML, and simulation, offering meaningful impact on real-world autonomous driving research. Compensation / Benefits paid time off stock options (Zoox stock appreciation rights) RSUs health insurance disability insurance life insurance
Responsibilities: Research, implement, and optimize state-of-the-art ML methods to enhance simulation variation and fidelity Collaborate with ML researchers, technical artists and simulation engineers to deploy ML techniques in the production simulator Build scalable cloud pipelines for ML solutions in 3D simulation Improve rendering and tooling to generate realistic data at scale
Key requirements: 7+ years of programming and algorithm design experience Fluency in Python and C++ Experience building and extending radiance field ML models Publications or production experience in human-centric 3D vision, 3D reconstruction, or style transfer Strong mathematical skills and probabilistic techniques understanding collaboration across cross-functional teams strong problem solving and communication radiance field ML models Python C++ 3D vision

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