Open-Source Machine Learning Engineer - EMEA Remote

Hugging Face
Paris
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Python","PyTorch","GitHub","Transformers","Datasets","Accelerate","English"]

Open-source ML Engineer to improve the open-source ecosystem by working on libraries like Transformers, Datasets, PyTorch, and vLLM. Collaborate with researchers and practitioners, engage with a broad community via GitHub, forums, and Slack, and contribute meaningful, well-tested library code while making complex tech accessible.

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Hugging Face
Hugging Face
3 months ago

Open-Source Machine Learning Engineer - EMEA Remote

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Open-source ML Engineer to improve the open-source ecosystem by working on libraries like Transformers, Datasets, PyTorch, and vLLM. Collaborate with researchers and practitioners, engage with a broad community via GitHub, forums, and Slack, and contribute meaningful, well-tested library code while making complex tech accessible.
Location: Paris
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Contribute to and maintain open-source ML libraries (e.g., Transformers, Datasets, Accelerate) with a focus on quality and maintainability
  • •Collaborate with researchers, ML practitioners, and data scientists to advance the open-source ML ecosystem
  • •Interact with users and contributors across GitHub, forums, and Slack to gather feedback and drive improvements
  • •Review issues and pull requests, drive community engagement, and help onboard new contributors
  • •Help design and implement features that improve accessibility and scalability of ML tooling for a broad community

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionEquityRemote WorkParental LeavePaid Leave

Key Requirements

  • •Strong Python skills with experience writing clean, well-tested library code
  • •Deep hands-on experience with a modern deep-learning framework, especially PyTorch (JAX or TensorFlow a plus)
  • •Practical experience with the Hugging Face open-source stack (Transformers, Datasets, Accelerate) or comparable ML libraries
  • •A public track record of open-source contributions (e.g., merged PRs) reviewable on GitHub
  • •Solid understanding of modern machine learning and transformer architectures
Experience:Open sourceMachine learningTransformersPyTorch
Skills:PythonPyTorchGitHubTransformersDatasetsAccelerateEnglish
Languages:English
Tech Stack:PythonPyTorchTransformersDatasetsAccelerateGitHubJAXTensorFlow

Company Brief

Hugging Face
Builds open-source tools, models, and a platform for machine learning and natural language processing, enabling developers and organizations to train, deploy, and share AI models and datasets.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: New York, United States
Founded: 2016
WebsiteLinkedIn