Research Scientist – Controlled 3D Generation

We're seeking a Research Scientist passionate about 3D generation, flow matching, and diffusion models to advance the frontier of controllable 3D content creation.

Requirements

• PhD (or equivalent experience) in Machine Learning, Computer Vision, or Computer Graphics.
• Published work on diffusion, flow-matching, or score-based generative models (2D or 3D).
• Strong engineering and problem-solving abilities: experience with PyTorch, JAX, or CUDA-level optimisation.
• Understanding of 3D representations (meshes, Gaussians, signed-distance fields, volumetric grids, implicit networks).
• Solid grasp of geometry processing, multi-view consistency, and differentiable rendering.
• Ability to scale experiments efficiently and communicate complex results clearly.