Open Source Machine Learning Engineer
Hugging FaceVisit Hugging Face website
AI platform where the machine-learning community collaborates on models, datasets, and applications.
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Maintainer signals as of 9/2/2026
New York City, United States
Funding history
About Hugging Face
Hugging Face, Inc. is a Delaware corporation operating an AI/ML platform and open-source ecosystem. Its services include the Hugging Face Hub, ML libraries, inference services, managed endpoints, and enterprise offerings.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will improve open-source machine learning libraries, collaborate with users and contributors, and support the wider ML community through GitHub, forums, and Slack. You will help make machine learning tools accessible and maintainable.
Requirements
- Strong Python skills and experience writing well-tested, maintainable library code
- Hands-on experience with a modern deep-learning framework, especially PyTorch
- Experience with Transformers, Datasets, Accelerate, or comparable ML libraries
- Public track record of open-source contributions
- Understanding of machine learning, deep learning, and transformer architectures
- Experience collaborating with a technical community
- Fluent written English
Responsibilities
- Improve open-source machine learning libraries
- Collaborate with users and contributors across the open-source ML ecosystem
- Support users through GitHub, forums, and Slack
- Help foster the machine learning community
Benefits
- Conference, training, and education reimbursement
- Flexible working hours
- Remote work options
- Health, dental, and vision benefits for employees and dependents
- Parental leave
- Flexible paid time off
- Workstation equipment
- Company equity
