Job Description
At Hugging Face , we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets & 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on Github. About the Role Roles at Hugging Face are very fluid and dynamic -- we are looking for someone who is comfortable taking on different challenges that will evolve over time. In the short term, the focus of this role is to help develop Gradio ( www.gradio.dev ), a Python framework that lets users build machine learning web apps, and Trackio, a local-first, agent-friendly experiment tracking platform ( https://github.com/gradio-app/trackio ). Gradio and Trackio are used by more than 1 million developers each month, locally and to launch apps on Hugging Face Spaces. These apps have allowed machine learning to be accessible to a wide audience -- for the first time in history, anyone with an internet connection can use cutting-edge machine learning models right from their browser. Key responsibilities include: Designing, developing, and maintaining core features for Gradio and Trackio, ensuring scalability, reliability, and ease of use for ML developers. Architecting complex Python projects and frameworks that serve as foundational tools for the ML community. Collaborating with open-source contributors and engaging with the broader community through code reviews, discussions, and support. Integrating modern frontend technologies to create seamless and intuitive user experiences for Python-based web applications. Adapting to evolving engineering challenges and contributing to the direction of our developer tools as the landscape changes. Requirements About You If you love open-source, are passionate about making machine learning more accessible, have experience building Python frameworks, and want to contribute to one of the fastest-growing machine learning libraries, the
