Research Scientist – Controlled 3D Generation

Full Time

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Stability AI

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.

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