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Research Engineer - Graphics(m/w/x)
Designing and optimizing synthetic datasets for 3D foundation models, integrating rendering workflows with Blender/Unity. Deep understanding of 3D representations and proficiency in Blender/Unity/Unreal required. Collaboration with a pioneering research team on frontier 3D foundation models.
Requirements
- Strong experience in computer graphics and rendering
- Deep understanding of 3D representations
- Proficiency in Blender, Unity, Unreal Engine, or similar software
- Experience with WebGL or other web-based 3D graphics frameworks
- Bachelor’s, Master’s, or equivalent experience in Computer Science, Graphics, or related fields, or 2+ years of industry experience
- Knowledge of NeRF, 3D Gaussian Splatting, or related volumetric rendering methods
- Experience with procedural generation tools and techniques
- Understanding of generative modeling techniques, including VAEs, GANs, and transformers
- Background in large-scale data workflows for AI/ML model training
- Track record of open-source contributions, published research, or community engagement in computer graphics or generative AI
Tasks
- Design and optimize high-quality synthetic datasets for 3D foundation models
- Enhance and scale synthetic data generation pipelines for improved efficiency and diversity
- Integrate and refine rendering workflows using tools like Blender or Unity
- Collaborate with the research team to align datasets with model training objectives
- Evaluate and maintain data quality for consistency and performance
- Stay updated on industry trends in computer graphics and synthetic data generation
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Blender
- Unity
- Unreal Engine
- WebGL
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Research Engineer - Graphics(m/w/x)
Designing and optimizing synthetic datasets for 3D foundation models, integrating rendering workflows with Blender/Unity. Deep understanding of 3D representations and proficiency in Blender/Unity/Unreal required. Collaboration with a pioneering research team on frontier 3D foundation models.
Requirements
- Strong experience in computer graphics and rendering
- Deep understanding of 3D representations
- Proficiency in Blender, Unity, Unreal Engine, or similar software
- Experience with WebGL or other web-based 3D graphics frameworks
- Bachelor’s, Master’s, or equivalent experience in Computer Science, Graphics, or related fields, or 2+ years of industry experience
- Knowledge of NeRF, 3D Gaussian Splatting, or related volumetric rendering methods
- Experience with procedural generation tools and techniques
- Understanding of generative modeling techniques, including VAEs, GANs, and transformers
- Background in large-scale data workflows for AI/ML model training
- Track record of open-source contributions, published research, or community engagement in computer graphics or generative AI
Tasks
- Design and optimize high-quality synthetic datasets for 3D foundation models
- Enhance and scale synthetic data generation pipelines for improved efficiency and diversity
- Integrate and refine rendering workflows using tools like Blender or Unity
- Collaborate with the research team to align datasets with model training objectives
- Evaluate and maintain data quality for consistency and performance
- Stay updated on industry trends in computer graphics and synthetic data generation
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Blender
- Unity
- Unreal Engine
- WebGL
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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