# Open-Source Machine Learning Engineer - US Remote

Hiring organization: [Hugging Face](https://career.thegoodapps.co/organizations/hugging-face)

Canonical page: https://career.thegoodapps.co/jobs/9cb92186-fb04-4931-881f-372b432e7759

Listed on Hugging Face's own careers site. Applications go to them directly.

- Employment type: full time
- Location: New York, NY
- Remote: yes

## Summary

This role involves maintaining and improving Hugging Face's widely-used open-source machine learning libraries like Transformers and Datasets, collaborating directly with a global community of researchers and practitioners. It suits developers with a proven track record contributing to open-source ML projects who are passionate about making machine learning tools accessible and want to work on impactful ecosystem-level work.

_Our summary, not Hugging Face's wording._

## Skills named

GitHub, JAX, Python, PyTorch, TensorFlow

## Required

- Strong Python skills with experience writing clean, well-tested library code
- Deep hands-on experience with a modern deep-learning framework, especially PyTorch
- Practical experience with Hugging Face open-source stack or comparable ML libraries
- Public track record of open-source contributions reviewable on GitHub
- Solid understanding of modern machine learning and transformer architectures
- Experience collaborating with technical communities on GitHub, forums, or chat platforms
- Fluent written English for asynchronous distributed collaboration

## Nice to have

- Experience maintaining an open-source project
- Prior contributions to Transformers, Datasets, or Accelerate
- Familiarity with distributed training or inference optimization
- Experience training or fine-tuning models at scale

Apply on Hugging Face's site: https://apply.workable.com/j/19A136F8E2/apply