# Open-Source Machine Learning Engineer - EMEA Remote

**Company**: Hugging Face
**Location**: Paris, Île-de-France
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q108943604

**Apply**: https://jobs.workable.com/view/1Zq7kn8mWkt5VH73LmhyJT/open-source-machine-learning-engineer---emea-remote-in-paris-at-hugging-face?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_cb9ca6e8-d37

## Description

As an Open-Source Machine Learning Engineer, you'll work to improve the open-source machine learning ecosystem. You'll mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch, and vLLM, and you'll interact with users and contributors across the broad open-source ML ecosystem.

You'll need:

- Strong Python skills, with experience writing clean, well-tested, maintainable library code

- Deep hands-on experience with a modern deep-learning framework, especially PyTorch (JAX or TensorFlow 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, for example merged pull requests to ML or data libraries, that we can review 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 and reviews, forums, Slack or Discord)

- Fluent written English for asynchronous collaboration across a distributed, global community

Nice to have:

- Experience maintaining an open-source project

- Prior contributions to Transformers, Datasets, Accelerate, or similar libraries

- Familiarity with distributed training, inference optimization, or GPU/accelerator performance work

- Experience training or fine-tuning models at scale

We offer:

- Flexible working hours and remote options

- Health, dental, and vision benefits for employees and their dependents

- Parental leave and flexible paid time off

- Company equity as part of your compensation package

- Reimbursement for relevant conferences, training, and education

## Skills

### Required
- Python
- PyTorch
- Transformers
- Datasets
- Deep Learning
- Machine Learning

### Nice to have
- JAX
- TensorFlow
- Distributed Training
- Inference Optimization
- GPU/accelerator performance

---

Source: [Apply at jobs.workable.com](https://jobs.workable.com/view/1Zq7kn8mWkt5VH73LmhyJT/open-source-machine-learning-engineer---emea-remote-in-paris-at-hugging-face?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)