> Markdown version of [/jobs/ext/4008082-open-source-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/4008082-open-source-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Open-Source Machine Learning Engineer - **Company:** Hugging Face - **Location:** Paris, France - **Contract:** Permanent contract - **Skills:** Distributed Computing Environment, Github, Python (Programming Language), Machine Learning, Open Source Technology, Inference Optimization, Tensorflow, Pytorch, Deep Learning, Scikit Learn, HuggingFace, Transformer Architectures, Discord - **Published:** October 29, 2026 - **Apply:** https://www.welcometothejungle.com/en/companies/hugging-face/jobs/open-source-machine-learning-engineer_paris_iu62f372 ## About the Role * You have a public track record of open-source work, and you enjoy collaborating with a community out in the open on GitHub * You love open source, you're passionate about making complex technology more accessible, and you want to contribute to one of the fastest-growing ML ecosystems. If that's you, we can't wait to see your application * Experience collaborating with a technical community in the open (GitHub issues and reviews, forums, Slack or Discord) * Fluent written English for asynchronous collaboration across a distributed, global community * Solid understanding of modern machine learning and deep learning, including transformer architectures * Practical experience with the Hugging Face open-source stack (Transformers, Datasets, Accelerate) or comparable ML libraries * A public track record of open-source contributions, for example merged pull requests to ML or data libraries, that we can review on GitHub * Deep hands-on experience with a modern deep-learning framework, especially PyTorch (JAX or TensorFlow a plus) * Strong Python skills, with experience writing clean, well-tested, maintainable library code * If you're interested in joining us but don't tick every box above, we still encourage you to apply * Prior contributions to Transformers, Datasets, Accelerate, or similar libraries * Familiarity with distributed training, inference optimization, or GPU/accelerator performance work * Experience maintaining an open-source project * Experience training or fine-tuning models at scale ## Description * As an Open-Source Machine Learning Engineer, you'll work to improve the open-source machine learning ecosystem * You'll mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch and vLLM, and you'll interact with users and contributors across the broad open-source ML 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 help foster one of the most active machine learning communities, helping users contribute to and use the tools you buil * You'll work with researchers, ML practitioners, and data scientists every day through GitHub, our forums, and Slack