We are hiring interns!

Published November 29, 2022
Update on GitHub

Want to help build the future at -- if we may say so ourselves -- one of the coolest places in AI? Today we’re announcing our internship program for 2023. Together with your Hugging Face mentor(s), we’ll be working on cutting edge problems in AI and machine learning.

Applicants from all backgrounds are welcome! Ideally, you have some relevant experience and are excited about our mission to democratize responsible machine learning. The progress of our field has the potential to exacerbate existing disparities in ways that disproportionately hurt the most marginalized people in society — including people of color, people from working-class backgrounds, women, and LGBTQ+ people. These communities must be centered in the work we do as a research community. So we strongly encourage proposals from people whose personal experience reflects these identities!


The following internship positions are available in the Open Source team, alongside maintainers of the respective libraries:

The following Science team positions are available:

The following other internship positions are available:

Locations vary on a case-by-case basis and if the internship host has a location preference, this will be indicated on the job listing.

How to Apply

You can apply directly for each position through our job portal. Click on the positions above to be taken directly to the application form.

Please make sure to complete the short submission at the end of the application form when applying. You'll need to create a Hugging Face account for that.

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.