HF
Listed on Hugging Face’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves maintaining and improving Hugging Face's widely-used open-source machine learning libraries like Transformers and Datasets, collaborating directly with a global community of researchers and practitioners. It suits developers with a proven track record contributing to open-source ML projects who are passionate about making machine learning tools accessible and want to work on impactful ecosystem-level work.
Our summary, not Hugging Face’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Strong Python skills with experience writing clean, well-tested library code
- Deep hands-on experience with a modern deep-learning framework, especially PyTorch
- Practical experience with Hugging Face open-source stack or comparable ML libraries
- Public track record of open-source contributions reviewable on GitHub
- Solid understanding of modern machine learning and transformer architectures
- Experience collaborating with technical communities on GitHub, forums, or chat platforms
- Fluent written English for asynchronous distributed collaboration
Nice to have
- Experience maintaining an open-source project
- Prior contributions to Transformers, Datasets, or Accelerate
- Familiarity with distributed training or inference optimization
- Experience training or fine-tuning models at scale