Senior Machine Learning Engineer, Diffusion & Reconstruction
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The role
Design and implement video-to-video diffusion models for 3D and spatiotemporal reconstruction.
Develop efficient 4D feed-forward reconstruction methods and scalable pipelines for large-scale digital twins.
Productionize research by delivering robust, well-documented ML components integrated with tooling.
Optimize performance and scalability, collaborating with simulation, rendering, and infrastructure teams to deliver end-to-end solutions.
Foster cross-functional collaboration to translate cutting-edge diffusion techniques into production-ready capabilities.
Required background includes an advanced ML degree, PyTorch expertise, 3D vision or reconstruction experience, and diffusion or neural rendering capabilities; strong software engineering for production-grade code.
Develop efficient 4D feed-forward reconstruction methods and scalable pipelines for large-scale digital twins.
Productionize research by delivering robust, well-documented ML components integrated with tooling.
Optimize performance and scalability, collaborating with simulation, rendering, and infrastructure teams to deliver end-to-end solutions.
Foster cross-functional collaboration to translate cutting-edge diffusion techniques into production-ready capabilities.
Required background includes an advanced ML degree, PyTorch expertise, 3D vision or reconstruction experience, and diffusion or neural rendering capabilities; strong software engineering for production-grade code.
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