AI Jobs & Internships at Stability AI 2026
Stability AI launched the open-source Stable Diffusion model in 2022, democratizing AI image generation for millions of creators worldwide. Despite subsequent leadership and funding turbulence, the company remains relevant as the leading provider of open-source image and video generation models, with Stable Diffusion 3.5 and SVD (Stable Video Diffusion) continuing to advance the state of open generative media. Their models form the foundation for thousands of downstream applications and platforms.
AI Roles at Stability AI
Research Scientist (Generative Media)
Diffusion Model Engineer
Image Generation Engineer
Video Generation Engineer
Fine-Tuning Engineer
AI Safety Researcher
Community Engineer
Work Culture at Stability AI
Stability AI has a globally distributed, primarily remote culture with strong representation in the UK, Germany, and the US. The company's commitment to open-source is genuine and a significant part of why many employees joined. The organizational culture has been through significant transitions, which has increased the emphasis on individual contributor excellence over organizational stability. Engineers who thrive here are self-directed and motivated by the technical challenge of building state-of-the-art generative models.
How to Get a Job at Stability AI
- 1.
Deep expertise in diffusion model architectures — DiT, U-Net, flow matching — and Stable Diffusion's technical design is the most direct qualification for research roles
- 2.
Public contributions to diffusion model tooling, LoRA training techniques, or community model fine-tunes demonstrate both skill and alignment with their open-source mission
- 3.
Experience working with LAION datasets and large-scale image data pipelines is relevant for data and training roles
- 4.
Given the company's distributed nature, demonstrated ability to work effectively remotely and communicate asynchronously is important
- 5.
Stability AI's open-source models are available for anyone to run and experiment with — having hands-on technical experience with their APIs and fine-tuning interfaces demonstrates genuine engagement