Hugging Face

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 operate low-level, high-performance storage systems at massive scale for Hugging Face’s Xet Storage team. You’ll work primarily in Rust across open-source xet-core and the production Xet Storage backend in a fully remote, high-trust environment.

Build and operate low-level, high-performance storage systems powering Hugging Face’s massive AI and ML platform. You’ll work across the Rust-based xet-core project, the hf-xet Python library, and the Xet Storage backend in a fully remote environment.

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.

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.