Open-Source Machine Learning Engineer - EMEA Remote
Hugging Face5 months ago
Remote, EMEASenior
Responsibilities
- Improve and contribute to open-source machine learning libraries such as Transformers, Datasets, PyTorch, and vLLM.
- Write clean, well-tested, and maintainable Python library code.
- Support users and contributors across GitHub, forums, Slack, and the broader open-source ML community.
- Collaborate with researchers, ML practitioners, and data scientists on impactful ecosystem improvements.
- Help make complex machine-learning technology more accessible.
Requirements
- Strong Python skills and experience writing clean, well-tested, maintainable library code.
- Deep hands-on experience with a modern deep-learning framework, especially PyTorch; JAX or TensorFlow experience is a plus.
- Practical experience with the Hugging Face open-source stack, including Transformers, Datasets, and Accelerate, or comparable ML libraries.
- A public track record of open-source contributions, such as merged pull requests to machine-learning or data libraries reviewable on GitHub.
- Solid understanding of modern machine learning and deep learning, including transformer architectures.
- Experience collaborating with technical communities through GitHub issues and reviews, forums, Slack, or Discord.
- Fluent written English for asynchronous collaboration across a distributed global community.
- Open-source project maintenance, prior contributions to relevant libraries, distributed training, inference optimization, GPU or accelerator performance work, and large-scale model training are preferred.
Benefits
- EMEA remote work with flexible working hours and access to Paris and New York offices.
- Health, dental, and vision benefits for employees and dependents.
- Parental leave and flexible paid time off.
- Reimbursement for relevant conferences, training, and education.
- Company equity for all employees.
- Workstation outfitting when needed and opportunities to visit company offices.
Categories
About Hugging Face
Hugging Face builds an open platform and tools for machine learning developers to share, build, and deploy models, including the Hugging Face Hub, Transformers, and hosted inference services. Its business model combines open-source libraries with paid managed inference, enterprise hosting, and commercial partnerships. Founded in 2016 and privately held, the company serves a global developer community with millions of models, datasets, and apps hosted and reports over 11 million users.