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About Stability: is a community and mission driven, open-source artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders and partners across the globe who are developing cutting-edge open AI models for Image, Language, Audio, Video, 3D and Biology.

About the role: 

We are looking for Research Scientists in the machine learning discipline who are passionate about generative models and creative applications of AI. In particular, we are looking for people who share our mission of open-source research; people who do not believe AI models should be controlled by a centralized gatekeeper behind a closed wall, but rather be truly open and in control by all. We want highly creative researchers who are motivated to push the boundaries of generative models research, not just in state-of-the-art performance, but in pushing the efficient frontier between performance and resource usage. You will have access to state-of-the-art high performance computing resources and you will be able to work alongside top researchers and engineers to truly make an impact in the fast growing world of generative AI.



  • Work with research team to execute research agenda
  • Build the next generation of creative generative AI models
  • Publication of results at top conferences or journals, and blog posts
  • Work with open-source community on model release and tooling
  • Work with engineering / business teams on model deployment and customized training


  • Publication of papers, projects, and blog posts that had a high impact in generative AI
  • Experience with dataset curation, rather than rely solely on spoonfed research datasets
  • Ability to communicate research ideas effectively through writing and visualization
  • Experience with Python scientific stack, PyTorch, creating Jupyter/Colab notebooks
  • Experience with training large models on a compute cluster environment is a plus


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.

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Location: Remote

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