Senior Machine Learning Engineer, Diffusion & Reconstruction
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The role
Lead the development of diffusion-based and feed-forward models for 3D and spatiotemporal reconstruction, including video-to-video diffusion and 4D methods.
Optimize models and pipelines to scale across large simulation environments and productionize research into robust ML components integrated with platform tooling.
Collaborate with cross-functional teams in simulation, rendering, and infrastructure to deliver end-to-end ML solutions from design to deployment.
We seek candidates with an MS or PhD in ML, CV, robotics, or related fields, and deep experience in PyTorch and large-model development.
Strong knowledge of 3D vision, 3D representation learning, and generative models (diffusion or neural rendering) is required.
Excellent problem solving, collaboration, and communication skills are essential in this senior role.
Optimize models and pipelines to scale across large simulation environments and productionize research into robust ML components integrated with platform tooling.
Collaborate with cross-functional teams in simulation, rendering, and infrastructure to deliver end-to-end ML solutions from design to deployment.
We seek candidates with an MS or PhD in ML, CV, robotics, or related fields, and deep experience in PyTorch and large-model development.
Strong knowledge of 3D vision, 3D representation learning, and generative models (diffusion or neural rendering) is required.
Excellent problem solving, collaboration, and communication skills are essential in this senior role.
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