Location: Remote

About The Role We’re seeking a Research Scientist passionate about 3D generation, flow matching, and diffusion models . You’ll help advance the frontier of controllable 3D content creation—building models that generate consistent, editable, and physically grounded 3D assets and scenes.

What You’ll Do

• Conduct cutting-edge research on flow-matching, diffusion, and score-based methods for 3D generation and reconstruction
• Design and implement scalable training pipelines for controllable 3D generation (meshes, Gaussians, NeRFs, voxels, implicit fields)
• Develop techniques for conditioning and control (text, sketch, pose, camera, physics) and multi-view consistency
• Analyse model behaviour through ablations, visualisations, and quantitative metrics
• Collaborate with cross-disciplinary research, graphics, and infrastructure teams to translate research into production-ready systems
• Publish results at top-tier venues and work with interns

What You Bring

• 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

Bonus / Preferred

• Experience generating coherent 3D scenes with multiple interacting objects, lighting, and spatial layout
• Familiarity with scene-level control (object placement, camera path, simulation, or text-to-scene composition)
• Knowledge of video-to-3D, image-to-scene, or 4D temporal generation
• Background in physically-based rendering, simulation, or world-model architectures
• Track record of impactful publications or open-source releases

Equal Employment Opportunity: 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.