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ashby

Research Engineer - Graphics

SpAItial
London, GBR
Full-time
Mid · 2+ years experience
Onsite
Discovered 1 months ago
BlenderUnityUnreal EngineWebGL

Full Job Posting

Responsibilities

  • Design and optimize high-quality synthetic datasets for training large-scale 3D foundation models.
  • Enhance and scale our synthetic data generation pipelines to improve efficiency, fidelity, and diversity of outputs.
  • Integrate and refine rendering workflows using tools like Blender, Unity, or equivalent platforms.
  • Work with with research team to ensure datasets align with model training objectives.
  • Evaluate and maintain data quality, ensuring consistency and performance
  • Stay ahead of industry trends in computer graphics, synthetic data generation

Key Qualifications

  • Strong experience in computer graphics and rendering , with proven projects or shipped products.
  • Deep understanding of 3D representations (meshes, voxels, point clouds, implicit surfaces, etc.).
  • Proficiency in Blender, Unity, Unreal Engine , or similar rendering and simulation 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 in graphics and rendering.

Preferred Qualifications

  • 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.
  • At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.

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