Open-source AI platform hosting machine learning models and community.
Hugging Face is a leading AI company that provides an open-source platform hosting over one million machine learning models. It enables discovery, collaboration, and deployment of ML models in multiple modalities including text, image, video, audio, and 3D. The company offers both community-driven resources and enterprise solutions including compute, model hosting, and APIs, empowering developers and organizations to integrate AI into products and workflows.
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Hugging Face may still be hiring. Their careers page has the latest openings.
Open Hugging Face’s careers pageHugging Face is a leading AI company that provides an open-source platform hosting over one million machine learning models. It enables discovery, collaboration, and deployment of ML models in multiple modalities including text, image, video, audio, and 3D.
Not on RemoteWork at the moment. Hugging Face's own careers page has its current openings.
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Hiring signal
A jobs aggregator listing roles updated around 2026-09-25 showed Senior Open-Source Python Engineer, ML Developer Tools (EMEA Remote), Senior Machine Learning Engineer, Voice Agents (EMEA Remote), Open-Source Machine Learning Engineer (EMEA Remote), and Low-level Senior Software Engineer, Xet Storage (EMEA Remote, listed as Remote–France by another aggregator). These are third-party listings, not individually verified against the live official board; confirm availability and location restrictions on Hugging Face’s careers page.
Tech stack
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What they actually do
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Funding and traction
Key contacts
5 named people at Hugging Face, with LinkedIn links.
Outreach hook
Drafted opening line
Hugging Face is headquartered in Brooklyn, United States and was founded in 2016.
Hugging Face has 500-1000 employees.
Hugging Face's funding stage is Series D. Total funding on record: $395.2M.
what they actually do, why reach out now, funding and traction, hiring signal, tech stack, key contacts, outreach hook, drafted opening line. The hiring signal and tech stack are free to preview. The full report costs ₦1,500 or €1.50, once.