Stability AI is the enterprise-ready creative partner for teams and creators, delivering professional-grade generative AI tools and solutions for content production at scale. Backed by Lightspeed.
About the role
We are seeking a highly motivated Research Scientist to join our Research team. The role focuses on advancing the next generation of generative AI systems for professional creative workflows , spanning image, video, 3D, vector graphics, and design.
What they're looking for
- Strong academic research track record in computer vision, computer graphics, machine learning, generative modeling, computational imaging, visual computing, or a related field
- PhD or equivalent research experience in Computer Science, Machine Learning, Computer Graphics, Computer Vision, or a closely related discipline
- Demonstrated ability to conduct original research, publish papers, and build working systems or prototypes
- Broad technical background across several of the following areas:
- Generative image models
- Video generation or video editing
More about this role
Research Scientist, Professional Creative Workflows
We are seeking a highly motivated Research Scientist to join our Research team. The role focuses on advancing the next generation of generative AI systems for professional creative workflows , spanning image, video, 3D, vector graphics, and design.
This is a general research role with room for academic publication, long-horizon exploration, and technically ambitious work, while remaining grounded in real projects with meaningful product impact. The ideal candidate can move fluidly between frontier research, rigorous experimentation, and prototype systems that inform how professional creators work with generative AI.
We are looking for a broad, technically deep researcher who can combine ideas across fields and modalities, connecting concepts from areas such as computer vision, graphics, generative modeling, and design to address complex creative workflows.
You will work on research that enables creators and enterprises to generate, edit, structure, refine, and reuse visual assets across modalities, supporting workflows in which different forms of media and design intent work together rather than as isolated generation tasks.
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