Hugging Face

Hugging Face builds artificial intelligence and machine learning tools and libraries in the open. Founded in 2016, the company works on machine learning, open-source software and ML tooling, with the stated mission of democratizing machine learning and making AI accessible to everyone. Its core libraries are open-source projects maintained by the team and contributed to by the broader community, alongside next-generation ML tools intended to advance accessible AI.

The work reaches millions of developers worldwide, and code is shipped daily. Research and business decisions are made transparently, with progress shared publicly in real time and with direct engagement with the community on GitHub and social platforms. The open-source philosophy is applied to how the company itself works, decides and measures impact.

The team has been distributed since founding and operates remote-first worldwide. Communication is largely asynchronous, supplemented by regular virtual gatherings. The company values curiosity, collaboration and the accessibility of AI; it looks for people who take initiative, learn publicly and are passionate about democratizing machine learning, and it supports individual growth while celebrating contributions.