At Hugging Face, we're on a journey to democratize good AI. As an open-source Machine Learning Engineer, you will work to improve the open-source machine learning ecosystem. You will mainly work with existing open-source libraries, such as Transformers, Datasets, or Accelerate, and you will interact with users and contributors of the broad open-source machine learning ecosystem.
We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners and data scientists on a daily basis through GitHub, our forums, or slack.
If you love open-source, are passionate about making complex technology more accessible, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application! If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another.
More about Hugging Face
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.
Requirements
Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.
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