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Research Scientist – Controlled 3D Generation

Stability AI

Research Scientist – Controlled 3D Generation

Stability AI

Remote

·

Remote

·

Full-time

·

1w ago

Required Skills

Machine Learning

Computer Vision

Computer Graphics

Diffusion Models

Flow Matching

3D Reconstruction

PyTorch

Research Scientist – Controlled 3D Generation

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 Py Torch, 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, or4D 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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About Stability AI

Stability AI

Stability AI

Series A

Stability AI Ltd is a UK-based artificial intelligence company, best known for its text-to-image model Stable Diffusion.

51-200

Employees

London

Headquarters

$1B

Valuation

Reviews

4.2

10 reviews

Work Life Balance

3.5

Compensation

4.9

Culture

4.4

Career

4.4

Management

3.7

92%

Recommend to a Friend

Pros

Strong research and publication culture

Working on cutting-edge AI/ML technologies

Top-tier compensation with excellent equity

Cons

Extremely fast-paced with constant changes

Work-life balance can suffer during critical periods

Ambiguity in rapidly evolving field

Salary Ranges

0 data points

Junior/L3

Junior/L3 · Recruiter

0 reports

$117,600

total / year

Base

$117,600

Stock

-

Bonus

-

$99,960

$135,240

Interview Experience

41 interviews

Difficulty

4.2

/ 5

Duration

21-35 weeks

Offer Rate

27%

Experience

Positive 70%

Neutral 12%

Negative 18%

Interview Process

1

Recruiter Screen

2

ML Coding

3

ML System Design

4

Research Discussion

5

Team Interviews

Common Questions

ML fundamentals

Design an ML system

Research paper discussion

Statistical concepts