The Research Scientist will conduct research in 3D generation, implement scalable training pipelines, analyze model behavior, collaborate with teams, and publish results.
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 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.
Top Skills
3D Generation
Cuda
Diffusion Models
Flow Matching
Jax
PyTorch
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Solution Consultant will focus on commercial growth, providing consulting on AI-enhanced technology solutions for customers while enabling better organizational performance.
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role involves driving revenue through solution sales in HR, Legal, Workplace, and Procurement, requiring executive engagement and complex sales cycle management.
Top Skills:
AISaaS
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
This internship involves supporting Go-To-Market strategy and operations for sales teams, focusing on integrating AI and data insights into business processes and workflows.
Top Skills:
AIAutomation ToolsData Analysis
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
