Research Scientist – Controlled 3D Generation

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November 14

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Stability AI

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Artificial Intelligence • B2B • SaaS

Stability AI is a company focused on unlocking humanity's potential through generative AI technology. They provide a suite of open models across various modalities, such as image, video, audio, and language, including their powerful model, Stable Diffusion 3. 5. Their models offer high customization, community licensing, and deployment options for developers, making advanced AI accessible for different applications.

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Equal Employment Opportunity employer • Passionate about 3D generation • Work with interns