Résumé du poste par JobGrid
Senior Python Software Engineer, ML Developer Tools at Hugging Face in Remote, France is a full-time senior IT role. JobGrid normalizes the role into a comparable Full Stack Engineer classification, keeps the English source boundary intact, and sends candidates to the original public application page; no salary was provided in the source. This fits remote software engineer jobs from public company career pages. This listing is part of JobGrid's Emplois IA à distance depuis des pages carrières.
- Remote, France; full time; senior; category IT; subcategory Full Stack Engineer.
- Source posted on 2026-06-02 and last checked on 2026-06-02, so the page reflects recent source data.
- Work language is English.
- No salary is listed in the provided payload, so JobGrid cannot add salary context here.
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.