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Open-Source Machine Learning Engineer - US Remote

4 months, 1 week ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Deep Learning GitHub Machine Learning Python PyTorch TensorFlow Transformers
Apply Now
Hugging Face

Hugging Face

Hugging Face: Advancing AI through open collaboration. Platform for ML model collaboration and tools for AI project creation.

IT Services
51-250
Founded 2016
$395M raised
View All Jobs 2

Description

  • Improve and maintain open-source machine learning libraries such as Transformers, Datasets, PyTorch, and vLLM.
  • Collaborate with users and contributors across GitHub, forums, and Slack on issues, reviews, and feature work.
  • Help foster and support an active open-source machine learning community.
  • Work with researchers, ML practitioners, and data scientists in a distributed, asynchronous environment.
  • Contribute to the evolution of the open-source ML ecosystem with work that aligns to business and community impact.
  • Review and respond to community contributions and discussions in public channels.
  • Brainstorm with the team to identify high-impact areas of ownership and technical contribution.

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 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 ML or data libraries, that can be reviewed on GitHub.
  • Solid understanding of modern machine learning and deep learning, including transformer architectures.
  • Experience collaborating with a technical community in public channels such as GitHub issues and reviews, forums, Slack, or Discord.
  • Fluent written English for asynchronous collaboration across a global distributed community.
  • Experience maintaining an open-source project is a plus.
  • Prior contributions to Transformers, Datasets, Accelerate, or similar libraries are preferred.
  • Familiarity with distributed training, inference optimization, or GPU/accelerator performance work is a plus.
  • Experience training or fine-tuning models at scale is a plus.
  • A cover letter that explains why you want to work in open source at Hugging Face and notes the topics you want to work on.

Benefits

  • Reimbursement for relevant conferences, training, and education.
  • Flexible working hours and remote work options.
  • Health, dental, and vision benefits for employees and their dependents.
  • Parental leave and flexible paid time off.
  • Company equity as part of the compensation package.
  • Opportunity to visit office spaces in NYC and Paris if remote.
  • Workstation support and outfitting when needed.

Interested in this position?

Apply directly on the company website

Apply Now

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