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.
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A plain LinkedIn search buries the people who would actually help you.
It ranks by prominence, so the most-followed, most-messaged names sit on top. FindWarmIntros surfaces the coworkers who share your school or a past employer - the people most likely to reply - and hands you a ready-to-send intro.
✍️ Ready-to-send intro“Hi - we both studied at [your school]. I’d love to hear about your path to Hugging Face before I apply…”
… plus everyone else in your network who can put in a good word.
See who can refer you in - pick your target company:
Quick answer
Yes, Hugging Face takes employee referrals: an employee puts your name in internally, usually before you apply, and about 50% of hires come through referrals. You do not need to already know someone there. You need an employee you share a school or a past employer with, and a short conversation.
- Find Hugging Face employees who share your school or a past employer (the free search above).
- Ask for a 15 minute chat about their team, not for a job.
- If it goes well, ask them to submit your referral before you apply.
Referral bonuses at large companies typically run $1,000 to $10,000, paid to the employee who refers you, never to the candidate. See reported referral bonus amounts by company.
By the Numbers
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.
Don't already know someone at Hugging Face? You don't have to.
The steps below all start the same way - finding an insider willing to refer you. FindWarmIntros does that part for you: it surfaces the Hugging Face employees who already share your school or a past employer (the people most likely to say yes) and drafts the intro. Free, no sign-up, ~10 seconds.
Show me who can refer me at Hugging Face →Or read the manual version first - it's right below.
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.
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.