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.
The following internship positions are available in the Open Source team, alongside maintainers of the respective libraries:
Accelerate Internship, to lead the integration of new, impactful features in the library.
Text to Speech Internship, working on text-to-speech reproduction.
The following Science team positions are available:
Embodied AI Internship, working with the Embodied AI team on reinforcement learning in simulators.
Fast Distributed Training Framework Internship, creating a framework for flexible distributed training of large language models.
Datasets for LLMs Internship, building datasets to train the next generation of large language models, and the assorted tools.
The following other internship positions are available:
Social Impact Evaluation Internship, developing a technical framework for assessing the overall social impact of generative ML models.
AI Art Tooling Internship, bridging the AI and art worlds by building tooling to empower artists.
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.
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.