Open-Source Machine Learning Engineer - EMEA Remote

Hugging Face is hiring an Open-Source Machine Learning Engineer to improve libraries including Transformers, Datasets, PyTorch and vLLM. The role involves writing clean, tested Python library code, collaborating with researchers and practitioners, and supporting users and contributors through GitHub, forums and Slack. The team will work with the hire to identify impactful projects aligned with their interests.

Candidates should bring hands-on experience with a deep learning framework, practical familiarity with the Hugging Face stack or comparable ML libraries, and a public record of open-source contributions. The work also calls for understanding transformer architectures and collaborating in technical communities. Experience maintaining projects, optimizing inference or distributed training, and training models at scale is useful. Hugging Face describes its team as distributed, with offices in Paris and New York, and offers remote options.

Highlights

• Contribute to widely used open-source ML libraries.
• Collaborate with researchers, practitioners and contributors.
• Work on projects shaped around impact and individual interests.
• Training reimbursement, equity and flexible paid time off.