# Open-Source Machine Learning Engineer

**Company:** [Hugging Face](https://hotfix.jobs/companies/hugging-face)
**Location:** Remote
**Role:** ML Engineering
**Skills:** Python, PyTorch, JAX, TensorFlow, Transformers, Datasets, Accelerate, vLLM, Machine Learning, Deep Learning, Transformer Architectures, Distributed Training, Inference Optimization, Gpu Performance, GitHub
**Posted:** 2026-05-29

> Build and improve open-source machine learning libraries while collaborating with researchers, practitioners, users, and contributors. The role requires strong Python, deep-learning framework experience, practical familiarity with the Hugging Face ecosystem, and a public record of open-source contributions.

## Job Description

## Responsibilities
- Improve the open-source machine learning ecosystem.
- Work on open-source libraries such as Transformers, Datasets, PyTorch, and vLLM.
- Collaborate with users and contributors across the open-source ML ecosystem.
- Help foster the machine learning community and make tools accessible to users and contributors.
- Collaborate with researchers, ML practitioners, and data scientists through GitHub, forums, and Slack.

## Requirements
- Strong Python skills and experience writing clean, well-tested, maintainable library code.
- Hands-on experience with a modern deep-learning framework, especially PyTorch; JAX or TensorFlow experience 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 machine learning or data libraries.
- Solid understanding of modern machine learning and deep learning, including transformer architectures.
- Experience collaborating with technical communities through 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.
- 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.

## Compensation and Benefits
- Flexible working hours and remote options.
- Health, dental, and vision benefits for employees and their dependents.
- Parental leave and flexible paid time off.
- Reimbursement for relevant conferences, training, and education.
- Company equity for all employees.
- Access to office spaces in NYC and Paris, with opportunities for remote employees to visit.
- Workstation equipment support when needed.

## Application Requirement
- Submit a cover letter explaining why you would like to work in open source at Hugging Face, including relevant skills, expertise, and topics of interest.

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