Open-Source Machine Learning Engineer - US Remote
Remote • New York, New York, United States; Remote • Full-time
Posted 4mo ago
Job Location
New York, New York, United States; Remote
Tech Stack
Remote Work Policy
Fully remote
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
Hugging Face is seeking an Open-Source Machine Learning Engineer to enhance the open-source ML ecosystem. This role involves working on established libraries like Transformers, Datasets, PyTorch, and vLLM, and engaging with a wide community of users and contributors. The position offers the opportunity to contribute to impactful projects that align with your interests and to foster one of the most active machine learning communities. You will collaborate daily with researchers, ML practitioners, and data scientists through various platforms.
Responsibilities
- Improve the open-source machine learning ecosystem.
- Work on existing open-source libraries such as Transformers, Datasets, PyTorch, and vLLM.
- Interact with users and contributors across the open-source ML ecosystem.
- Foster the machine learning community by helping users contribute to and use built tools.
- Collaborate with researchers, ML practitioners, and data scientists.
- Brainstorm and work on impactful projects aligned with personal interests.
Requirements
- Strong Python skills with experience in writing clean, well-tested, maintainable library code.
- Deep hands-on experience with a modern deep-learning framework, especially PyTorch (JAX or TensorFlow are 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 pull requests to ML or data libraries on GitHub).
- Solid understanding of modern machine learning and deep learning, including transformer architectures.
- Experience collaborating with a technical community in the open (GitHub issues/reviews, forums, Slack/Discord).
- Fluent written English for asynchronous collaboration in a distributed, global community.
Benefits
- Reimbursement for relevant conferences, training, and education.
- Flexible working hours.
- Remote options.
- Health, dental, and vision benefits for employees and their dependents.
- Parental leave.
- Flexible paid time off.
- Company equity as part of the compensation package.
- Opportunity to visit offices in NYC and Paris.
- Workstation setup if needed.