How to Get a Hugging Face Employee Referral

Hugging Face is the open-source hub of the AI world and hires a remote-first, deeply technical team. A referral from someone in the community-driven org is the clearest way to get a real review.

Find Contacts Who Can Refer You

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Example result

Someone who works at Hugging Face

surfaced from your school or a past employer

🎓 Shared school · 💼 Shared past employer

“Hi — we both studied at [your school]. I’d love to hear about your path to Hugging Face before I apply…”

By the Numbers

Open-source

the hub of the ML community

Remote-first

globally distributed team

High

applicant-to-opening ratio

Hugging Face hosts the models, datasets, and libraries that much of the ML community builds on, which makes it a magnet for AI talent. The company is remote-first and open-source-driven, hiring across ML, engineering, and developer relations.

Referrals work especially well here because contribution is visible: an employee who has seen your open-source work or community engagement can vouch concretely. That kind of demonstrable signal is exactly what a remote, open-source org weighs most.

How to Get a Referral: Step by Step

Find a real connection: Use FindWarmIntros to surface Hugging Face employees who share your school or a past employer — many come from ML research, open-source, and developer-tools backgrounds.
Contribute publicly first: Open-source contributions to the Hugging Face ecosystem, models, or datasets are the strongest possible signal for this team.
Match the role family: ML/research, engineering, product, and developer relations have different bars. Ask your contact which fits before the ask.
Keep outreach concrete: Point to specific work — a model, a library contribution, a write-up. A few sentences and a clear ask.
Embrace remote norms: As a remote-first org, clear written communication and self-direction read as fit. Show them in your outreach.

Find Alumni Who Can Refer You

Tips That Make the Difference

Open-source contributions beat resumes

A meaningful PR, a popular model or dataset, or strong community engagement demonstrates fit better than credentials.

Developer relations is a real door

Beyond ML and engineering, Hugging Face hires for devrel, docs, and community — great fits for technical communicators.

Written communication matters

Remote-first culture weighs clear, asynchronous writing heavily across roles.

Frequently Asked Questions

What does Hugging Face hire for?

Machine learning and research, software engineering, product, and developer relations — across a remote-first, open-source-driven organization.

How do I stand out for a Hugging Face role?

Contribute to the open-source ecosystem. Visible work — models, datasets, library PRs, community help — is the clearest signal and makes a referral easy to give.

Does a referral help at Hugging Face?

Yes — it gets your application a real review, and a referrer who has seen your open-source work can vouch for you concretely.