Senior Machine Learning Engineer, Diffusion & Reconstruction
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
Track your applications on mobile The free Whileresume app, on iPhone and Android.
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.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
or
Already have an account?
Log inYou might also like these jobs
No closely matching jobs yet — here are the most recent ones.