Hugging Face
Hugging Face builds an open platform and tools for machine learning developers to share, build, and deploy models, including the Hugging Face Hub, Transformers, and hosted inference services. Its business model combines open-source libraries with paid managed inference, enterprise hosting, and commercial partnerships. Founded in 2016 and privately held, the company serves a global developer community with millions of models, datasets, and apps hosted and reports over 11 million users.
Open Positions at Hugging Face
5 open positions
Build and grow open-source Python frameworks and developer tools that make machine learning applications easier to create. This senior role combines architecture, real-time streaming, frontend integration, and open-source community engagement in a remote EMEA team.
Build and grow open-source Python tools that help ML developers create applications, including Gradio, Trackio, and FastRTC. This remote role combines framework architecture, real-time streaming, developer experience, and open-source community engagement.
Hugging Face is hiring a senior machine learning engineer to own its open-source realtime voice-agent stack and take hf-voice from demo to production. The role combines speech systems, realtime inference infrastructure, developer APIs, and open-source leadership in a fully remote EMEA position.
Build and improve open-source machine learning libraries used by a broad global community, working closely with researchers, practitioners, and contributors. This fully remote role centers on Python, PyTorch, Hugging Face tools, and making advanced ML technology more accessible.
Join Hugging Face as an open-source Machine Learning Engineer improving widely used ML libraries and supporting a global community of users and contributors. The role focuses on Python, deep-learning frameworks, and impactful work across the open-source ML ecosystem.