Develop AI-assisted geometry processing methods for UV unwrapping, remeshing, and reconstructing 3D geometry that are compact, controllable, and scalable.
Requirements
- 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.
- Research or open-source work in learning-based UV unwrapping, remeshing, or geometry reconstruction.
- Experience developing generative 3D models or integrating learned geometry modules into diffusion / flow-matching frameworks.
- Familiarity with implicit neural representations, differentiable rendering, or geometry-aware latent spaces.
- Experience integrating geometry systems into 3D toolchains (e.g., Blender, Unreal, Unity) or graphics pipelines.
Responsibilities
- Research and develop AI-assisted geometry processing pipelines for UV unwrapping, remeshing, geometric reconstruction, and shape generation.
- Design learning-based representations for geometry (meshes, point clouds, implicit fields) that capture structure, topology, and correspondence.
- Develop token- or patch-based encoders for shape representation, enabling compression, editing, and reconstruction from learned codes.
- Integrate learned geometry modules into generation and reconstruction frameworks, ensuring geometric validity and multi-view consistency.
- Build training and evaluation pipelines with quantitative metrics for distortion, reconstruction fidelity, and mesh topology quality.
- Collaborate with graphics, simulation, and ML teams to bring new geometry models into creative and production pipelines.
- Contribute to publications, benchmarks, and internal best practices in geometry + AI research.
Other
- PhD (or equivalent experience) in Computer Graphics, Geometry Processing, Machine Learning, or a related field.
- Ability to bridge classical geometry processing with modern learning-based techniques and apply them to practical 3D workflows.
- We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
