Overview
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
Full 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. 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. These to
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