Help build the connective tissue between generative models, 3D data, and the tools that researchers and artists use daily
Build and automate internal pipelines that connect generative AI models, 3D data, and production tools
Develop evaluation infrastructure that allows researchers to consistently assess model quality and get visual feedback
Integrate with DCC tools such as Maya, Blender, or Houdini to support automated asset processing
Write clean, well-documented, and reproducible code
Identify and eliminate technical bottlenecks across the pipeline

Currently pursuing or recently completed a degree in Computer Science, Software Engineering, Digital Media, Animation, Game Development, or a related field
Strong programming skills in Python – this is a must
Solid foundation in computer graphics
Genuine interest in generative AI
Good communication skills and the ability to work collaboratively across research and engineering contexts
Proficiency in C++ is a strong plus (Nice to have)
Hands-on experience with DCC tools such as Maya, Blender, or Houdini (Nice to have)
Familiarity with concepts like mesh topology, UV mapping, materials, or rigging (Nice to have)
A portfolio or examples of past 3D or technical work (personal projects are welcome) (Nice to have)

Applied Researcher Intern

Key skills