採用
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
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Conduct cutting-edge research on flow-matching, diffusion, and score-based methods for 3D generation and reconstruction.
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Design and implement scalable training pipelines for controllable 3D generation (meshes, Gaussians, NeRFs, voxels, implicit fields).
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Develop techniques for conditioning and control (text, sketch, pose, camera, physics) and multi-view consistency.
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Analyse model behaviour through ablations, visualisations, and quantitative metrics.
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Collaborate with cross-disciplinary research, graphics, and infrastructure teams to translate research into production-ready systems.
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Publish results at top-tier venues and work with interns.
What You Bring
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PhD (or equivalent experience) in Machine Learning, Computer Vision, or Computer Graphics.
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Published work on diffusion, flow-matching, or score-based generative models (2D or 3D).
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Strong engineering and problem-solving abilities: experience with Py Torch, JAX, or CUDA-level optimisation.
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Understanding of 3D representations (meshes, Gaussians, signed-distance fields, volumetric grids, implicit networks).
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Solid grasp of geometry processing, multi-view consistency, and differentiable rendering.
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Ability to scale experiments efficiently and communicate complex results clearly.
Bonus / Preferred
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Experience generating coherent 3D scenes with multiple interacting objects, lighting, and spatial layout.
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Familiarity with scene-level control (object placement, camera path, simulation, or text-to-scene composition).
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Knowledge of video-to-3D,image-to-scene, or4D temporal generation.
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Background in physically-based rendering,simulation, or world-model architectures.
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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
Series AStability 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
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