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.
Responsibilities:
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
Qualifications:
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