Hugging Face
An Open-Source Machine Learning Engineer at Hugging Face works to improve the open-source ML ecosystem by contributing to and maintaining libraries such as Transformers, Datasets, and Accelerate. The role involves interacting with users and contributors across GitHub, forums, and Slack and helping foster an active ML community. The position emphasizes making complex technology more accessible and supports distributed, remote work.
Hugging Face is a leading AI community dedicated to advancing and democratizing artificial intelligence through open source and open science initiatives. The platform provides a suite of tools and libraries for natural language processing, enabling developers and organizations to build, share, and utilize machine learning models. Hugging Face aims to foster collaboration and innovation in AI research, making it accessible to a wider audience by offering resources such as models, datasets, and spaces for experimentation.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Hugging Face.
Hugging Face didn’t post a salary, so this is our estimate from similar listings.
Oct 25, 2025
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