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.
You'll join the Applications team, whose goal is to build the tooling that helps developers create machine learning applications on top of the primitives we offer on the Hub: Gradio, Spaces, Inference Providers, Datasets, Xet, and more. Concretely, that means maintaining and growing libraries like Trackio, a local-first, agent-friendly experiment tracking platform, FastRTC, our library for real-time audio and video streaming in Python, and Gradio itself, used by more than 1 million developers each month.
Key responsibilities include:
- Designing, developing, and maintaining core features across the team's libraries, 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.
- Growing early-stage libraries: defining the API surface, writing the demos and documentation that make them click, and driving adoption in the developer community.
- Working on real-time streaming and networking capabilities, a core priority for Gradio 7 and beyond.
- 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.
If you love open-source, are passionate about making machine learning more accessible, have experience building Python frameworks, and want to contribute to some of the fastest-growing libraries in the ML ecosystem, then we can't wait to see your application!
Requirements:
- Bachelor's degree or equivalent in Computer Science or a related field
- 5+ years of professional Python development experience
- Experience architecting complex Python projects or frameworks
- A track record of taking early-stage libraries or products from first users to broad adoption
- Professional experience with JavaScript or TypeScript
- Professional experience with a modern frontend framework such as React or Svelte
- Experience core-contributing to or maintaining open-source software projects
Nice to have:
- Experience with real-time audio/video streaming or networking (WebRTC, WebSockets)
- Contributions to libraries such as pipecat, LiveKit, FastAPI, or Starlette