SpAItial
Research Scientist - 3D Diffusion(m/w/x)
Full-timeOn-siteNot specified
München
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SPSpAItial
Research Scientist - World Models(m/w/x)
München
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
Architecting generative world models reasoning about physics and geometry. PhD in CS or related field with top-tier ML/Vision/Graphics publications required. Career advancement opportunities.
Requirements
- PhD in Computer Science or related field
- Top-tier publication record in ML, Vision or graphics
- Strong knowledge of generative models
- Strong knowledge of cutting-edge architectures
- Rich experience with deep learning frameworks
- Expert coding skills
- Ability to rapidly iterate ML experiments
- Usage of modern AI coding tools
Tasks
- Architect generative world models reasoning about space, time, and physics
- Design and develop image/video diffusion foundational ML models
- Train large-scale distributed models on distributed cloud infrastructure
- Develop demos showcasing trained model prototypes
- Process and maintain large data for model training
- Productionize models and optimize them at test time
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- ML
- Vision
- graphics
- generative models
- diffusion transformers
- PyTorch
- deep learning frameworks
- AI coding tools
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SpAItial and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SPSpAItial
Research Scientist - World Models(m/w/x)
München
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
Architecting generative world models reasoning about physics and geometry. PhD in CS or related field with top-tier ML/Vision/Graphics publications required. Career advancement opportunities.
Requirements
- PhD in Computer Science or related field
- Top-tier publication record in ML, Vision or graphics
- Strong knowledge of generative models
- Strong knowledge of cutting-edge architectures
- Rich experience with deep learning frameworks
- Expert coding skills
- Ability to rapidly iterate ML experiments
- Usage of modern AI coding tools
Tasks
- Architect generative world models reasoning about space, time, and physics
- Design and develop image/video diffusion foundational ML models
- Train large-scale distributed models on distributed cloud infrastructure
- Develop demos showcasing trained model prototypes
- Process and maintain large data for model training
- Productionize models and optimize them at test time
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- ML
- Vision
- graphics
- generative models
- diffusion transformers
- PyTorch
- deep learning frameworks
- AI coding tools
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SpAItial and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
SpAItial
Industry
IT
Description
The company is pioneering the development of a frontier 3D foundation model, pushing the boundaries of AI, computer vision, and spatial computing.
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