Senior Machine Learning Engineer, Diffusion & Reconstruction
Ist diese Stelle etwas für Sie?
Lebenslauf erstellen Erstellen Sie Ihren Lebenslauf und entdecken Sie Ihre Übereinstimmung mit dieser Stelle — und mit allen anderen.
Die Stelle
Lead the development of video-to-video diffusion models and efficient 4D feed-forward reconstruction for 3D and spatiotemporal data.
Design and optimize scalable ML models and pipelines to support large-scale digital twin environments.
Productionize research by shipping robust, well-documented ML components integrated with tooling.
Collaborate with simulation, rendering, and infra engineers to deliver end-to-end solutions.
Bring deep expertise in PyTorch, diffusion models, 3D vision, and neural rendering to the table.
Demonstrate strong engineering skills, a track record of deploying production-quality code, and a passion for spatial AI.
Design and optimize scalable ML models and pipelines to support large-scale digital twin environments.
Productionize research by shipping robust, well-documented ML components integrated with tooling.
Collaborate with simulation, rendering, and infra engineers to deliver end-to-end solutions.
Bring deep expertise in PyTorch, diffusion models, 3D vision, and neural rendering to the table.
Demonstrate strong engineering skills, a track record of deploying production-quality code, and a passion for spatial AI.
Die vollständige Anzeige sehen
Aufgaben, Anforderungen, Kompetenzen und Vorteile — mit Ihrem kostenlosen Konto.
Bereits ein Konto? Anmelden
Ähnliche Stellen
Weitere Positionen, die passen könnten.
Homeofficeno
StadtVancouver, Kanada