Stability AI

Research Scientist

• 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.

Research Scientist – Controlled 3D Generation

• Research and develop AI-assisted geometry processing pipelines for UV unwrapping, remeshing, geometric reconstruction, and shape generation.
• Design learning-based representations for geometry (meshes, point clouds, implicit fields) that capture structure, topology, and correspondence.
• Develop token- or patch-based encoders for shape representation, enabling compression, editing, and reconstruction from learned codes.
• Integrate learned geometry modules into generation and reconstruction frameworks, ensuring geometric validity and multi-view consistency.
• Build training and evaluation pipelines with quantitative metrics for distortion, reconstruction fidelity, and mesh topology quality.
• Collaborate with graphics, simulation, and ML teams to bring new geometry models into creative and production pipelines.
• Contribute to publications, benchmarks, and internal best practices in geometry + AI research.

Research Scientist – Geometry, AI Assisted

• Design and fine-tune large-scale VLMs / LLMs — and hybrid architectures — for tasks such as visual reasoning, retrieval, 3D understanding, and embodied interaction.
• Build robust, efficient training and evaluation pipelines (data curation, distributed training, mixed precision, scalable fine-tuning).
• Conduct in-depth analysis of model performance: ablations, bias / robustness checks, and generalisation studies.
• Collaborate across research, engineering, and 3D / graphics teams to bring models from prototype to production.
• Publish impactful research and help establish best practices for multimodal model adaptation.

Research Scientist – VLM Generalist

Software Engineer

• Report directly to the Chief Technology Officer (CTO) and drive technical strategy.
• Lead engineering teams and ensure successful delivery of AI-powered solutions.
• Collaborate with Product, Research, Applied, and Operations to translate AI innovations into market-ready solutions.
• Define and execute engineering roadmap aligned with company AI vision and business objectives.
• Hands-on leader who writes code and debugs problems with the team.
• Oversee design, development, and deployment of scalable, reliable, and secure full-stack applications and APIs.
• Ensure best practices in software development, architecture, cloud infrastructure, security, and observability.
• Drive technical excellence via CI/CD, DevOps/MLOps practices and track KPIs for engineering efficiency.

Research Scientist – Controlled 3D Generation

Research Scientist – Geometry, AI Assisted

Research Scientist – VLM Generalist

Director of Engineering