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SPSpAItial

Research Engineer - Graphics(m/w/x)

München
Full-timeOn-siteExperienced
AI/ML
Data Science

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

  • EnglishBusiness Fluent

Tools & Technologies

  • Blender
  • Unity
  • Unreal Engine
  • WebGL
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