Senior Machine Learning Engineer, Diffusion & Reconstruction
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The role
Lead the development of video-to-video diffusion models and efficient 4D feed-forward reconstruction methods for large-scale synthetic environments.
Design and optimize scalable ML pipelines to support photorealistic digital twins and simulation workloads.
Prototype, evaluate, and productionize state-of-the-art reconstruction components with robust, well-documented code.
Collaborate with cross-functional teams across simulation, rendering, and infrastructure to deliver end-to-end solutions.
Bring advanced ML expertise (PyTorch, large models) and a track record of shipping research into production-ready code.
Apply 3D vision, diffusion, and neural rendering techniques to advance 3D/4D reconstruction and spatial AI capabilities.
Design and optimize scalable ML pipelines to support photorealistic digital twins and simulation workloads.
Prototype, evaluate, and productionize state-of-the-art reconstruction components with robust, well-documented code.
Collaborate with cross-functional teams across simulation, rendering, and infrastructure to deliver end-to-end solutions.
Bring advanced ML expertise (PyTorch, large models) and a track record of shipping research into production-ready code.
Apply 3D vision, diffusion, and neural rendering techniques to advance 3D/4D reconstruction and spatial AI capabilities.
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