Research Scientist – Controlled 3D Generation

Research Scientist – Controlled 3D Generation

Location:Remote

About the Role

We’re seeking a Research Scientist passionate about3D 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 onflow-matching, diffusion, and score-based methodsfor 3D generation and reconstruction.
• Design and implement scalable training pipelines for controllable 3D generation (meshes, Gaussians, NeRFs, voxels, implicit fields).
• Develop techniques forconditioning 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 ondiffusion, flow-matching, or score-based generative models(2D or 3D).
• Strong engineering and problem-solving abilities: experience withPyTorch, JAX, or CUDA-level optimisation.
• Understanding of3D representations(meshes, Gaussians, signed-distance fields, volumetric grids, implicit networks).
• Solid grasp ofgeometry processing, multi-view consistency, and differentiable rendering.
• Ability to scale experiments efficiently and communicate complex results clearly.

Bonus / Preferred

• Experience generatingcoherent 3D sceneswith multiple interacting objects, lighting, and spatial layout.
• Familiarity withscene-level control(object placement, camera path, simulation, or text-to-scene composition).
• Knowledge ofvideo-to-3D,image-to-scene, or4D temporal generation.
• Background inphysically-based rendering,simulation, orworld-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.