We're looking for a Research Scientist with a strong foundation in geometry processing and a deep interest in how modern learning systems can represent and reconstruct shape.
Requirements
- PhD (or equivalent experience) in Computer Graphics, Geometry Processing, Machine Learning, or a related field.
- Deep understanding of discrete and differential geometry, including remeshing, surface parameterization, and geometric optimization.
- Experience with learning-based geometry representations (e.g., geometric autoencoders, tokenization, learned unwrapping, or generative reconstruction).
- Strong engineering skills: proficiency with PyTorch/JAX, geometry/mesh libraries, and large-scale experiment pipelines.
- Ability to bridge classical geometry processing with modern learning-based techniques and apply them to practical 3D workflows.