Jobs at Hugging Face

Develop and maintain open-source Python frameworks and ML developer tools, architect scalable libraries, grow early-stage projects, build real-time streaming capabilities, integrate modern frontend technologies, and collaborate with open-source contributors and the broader developer community.

Design, develop, and maintain Python libraries and frameworks for machine learning developers. Architect scalable developer tools, shape APIs, grow early-stage open-source projects, create demos and documentation, and drive community adoption. Work on real-time audio/video streaming, networking, frontend integrations, and open-source collaboration through code reviews, discussions, and support.

Own Hugging Face’s open-source speech-to-speech library and build hf-voice into a production voice-agent platform. Responsibilities include architecture, realtime inference, ASR/TTS/model integration, streaming APIs, WebSockets/WebRTC, GPU serving, concurrency, autoscaling, observability, reliability, load testing, documentation, community contributions, and deployment support. The role requires substantial Python open-source experience, realtime systems expertise, production LLM or multimodal model experience, and interest in conversational AI.

Work on the Xet Storage team building and operating the Xet storage backend and xet-core (Rust) and hf-xet (Python). Design, implement, and operate high-performance, scalable storage systems, contribute to open-source, and support production monitoring, alerting, and distributed debugging in a remote, fast-moving environment.

Work on Xet Storage: contribute to xet-core (Rust) and the Xet backend to design, build, and operate high-performance, large-scale storage systems (200+ PB). Implement features, maintain reliability, and operate production services in a remote, low-process environment while contributing to open-source projects.

Apply to an open-ended role at Hugging Face to co-design a custom position. Candidates should be passionate about AI and open source, have demonstrable accomplishments, thrive in ambiguity, and enjoy collaborating with a large AI community.

As an Open-Source Machine Learning Engineer at Hugging Face, you'll improve ML libraries, work with the community, and contribute to open-source projects.

As an Open-Source Machine Learning Engineer, improve and maintain open-source ML libraries while collaborating with users and contributors across the community.