Open-Source Machine Learning Engineer - International Remote

Hugging Face, a leading AI platform company with over 5 million users and 100k organizations, is seeking an Open-Source Machine Learning Engineer to join their mission of democratizing good AI. This role offers a unique opportunity to work on improving the open-source machine learning ecosystem, particularly with popular libraries like Transformers, Datasets, and Accelerate.

As part of this position, you'll be at the heart of one of the most active machine learning communities, working directly with researchers, ML practitioners, and data scientists through various platforms including GitHub, forums, and Slack. The role combines technical expertise with community engagement, allowing you to both build and help others use cutting-edge ML tools.

The company boasts an impressive open-source presence with over 400k+ stars on Github and has shared over 1M models, 300k datasets & 300k apps collectively. They offer a strong commitment to diversity, equity, and inclusivity, creating a workplace where everyone feels respected and supported regardless of their background.

The benefits package is comprehensive, including flexible remote work options, health/dental/vision coverage, parental leave, equity compensation, and professional development opportunities. With offices in NYC and Paris, the company supports a distributed workforce while maintaining strong collaborative ties.

This is an ideal position for someone passionate about open-source technology, eager to make complex ML technology more accessible, and interested in contributing to one of the fastest-growing ML ecosystems. The role offers the unique opportunity to work with industry experts while making a significant impact on the broader AI/ML community.