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Open-Source Machine Learning Engineer - EMEA Remote
AI / ML Engineer
• Remote
• Full-time
•
Paris, France
Open-Source Machine Learning Engineer at Hugging Face working to improve the open-source ML ecosystem, mainly on libraries such as Transformers, Datasets, PyTorch and vLLM, and interacting with users and contributors across the community via GitHub, forums and Slack.
Responsibilities
- ▹Work on existing open-source libraries such as Transformers, Datasets, PyTorch and vLLM
- ▹Interact with users and contributors across the broad open-source ML ecosystem
- ▹Help foster one of the most active machine learning communities, helping users contribute to and use the tools you build
- ▹Work with researchers, ML practitioners and data scientists daily through GitHub, forums and Slack
Requirements
- ▹Strong Python skills, with experience writing clean, well-tested, maintainable 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 reviewable on GitHub (e.g. merged pull requests to ML or data libraries)
- ▹Solid understanding of modern machine learning and deep learning, including transformer architectures
- ▹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
Nice to have
- ▹Experience maintaining an open-source project
- ▹Prior contributions to Transformers, Datasets, Accelerate or similar libraries
- ▹Familiarity with distributed training, inference optimization, or GPU/accelerator performance work
- ▹Experience training or fine-tuning models at scale
Soft skills
Passion for open source and making complex technology accessibleCommunity collaborationWritten communication for async work
What we offer
- ▹Flexible working hours and remote options
- ▹Health, dental and vision benefits for employees and their dependents
- ▹Parental leave and flexible paid time off
- ▹Company equity for all employees
- ▹Reimbursement for relevant conferences, training and education
- ▹Opportunity to visit the NYC and Paris offices; workstation outfitting if needed
Languages: angol
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