Senior Python Software Engineer, ML Developer Tools - US Remote

About this role

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](http://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](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](https://huggingface.co/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, ...