Hugging Face

The AI Community's Open-Source Platform

The consensus on Hugging Face: Choose Hugging Face if you want to build tools millions of ML devs use with true remote freedom — but comp lags FAANG.

2016
Founded
New York
Headquarters
~400
Employees
$4.5B
Valuation
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Culture Overview

What it's really like to work at Hugging Face

Hugging Face is the beating heart of the open-source AI community. Founded in 2016 by Clement Delangue, the company has grown from a chatbot startup into the default platform for sharing ML models, datasets, and demos. Their culture mirrors their product: open by default, collaborative, and community-driven. With a remote-first, async-friendly approach and a genuinely flat hierarchy, engineers here have the autonomy to ship fast and contribute directly to projects used by millions of developers worldwide.

Open-Source Flat Hierarchy Remote-First Flex Hours Transparent Many Hats Async Culture
Glassdoor Ratings

Hugging Face Glassdoor Ratings & Employee Reviews

3.8
Overall Glassdoor Score
Based on 85 reviews
Culture & Values 4.2
Work-Life Balance 4.1
Compensation & Benefits 3.4
Career Opportunities 3.5
Senior Management 3.6
Overall Rating 3.8
78% Recommend to a Friend
85% CEO Approval (Clement Delangue)
Employee Review Themes

Working at Hugging Face: Pros & Cons

✓ What employees love

  • ✓ True open-source DNA — Transformers library, Hub, and the entire ecosystem are genuinely open. You work on things that millions of developers actually use.
  • ✓ Remote-first and async culture actually works. Teams coordinate across time zones without drowning in meetings.
  • ✓ Flat hierarchy where anyone can push to main. If you have a good idea, you ship it — no layers of approval.
  • ✓ Incredible community and developer love. The external ecosystem gives your work real-world impact and fast feedback loops.

✗ What could be better

  • ✗ Below-market comp compared to FAANG. If compensation is your top priority, you'll feel the gap.
  • ✗ Fast-moving environment with lightweight processes. Context-switching is frequent and priorities shift quickly.
  • ✗ Career progression is unclear. There's no well-defined ladder, which can be frustrating for people who want structured growth.
  • ✗ Some teams are stretched thin. High-impact projects sometimes don't have enough hands, leading to burnout risk.
Engineering Culture

How the engineering team works

Tech Stack

Python Rust PyTorch JAX TensorFlow

Open Source Projects

300,000+ open-source models hosted on the Hub. Core libraries include Transformers, Diffusers, Accelerate, Candle, and Tokenizers — all maintained by the engineering team in the open.

Community & Platform

The Hub is the default platform for sharing ML models, datasets, and demos. Engineers build tools used by millions of developers, with fast community feedback loops driving product decisions.

Team & Process

Small, autonomous squads with high ownership. Engineers contribute directly to open-source repos with community PRs. The culture encourages wearing many hats — from research to production to developer advocacy.

Open Positions

Join the Hugging Face team

... open positions.

Community Sentiment

What the community says about Hugging Face

Mixed Sentiment 5 mentions from Hacker News & Reddit · Updated 2026-04-21
“Yann LeCun has long argued that current LLM-centric approaches are a dead end for AGI, advocating instead for world models grounded in richer representations of reality.”
Hacker News ju2ez · 2025-12-23 View thread →
“I built Allplix, a suite of 30+ free AI-powered tools (image compression, background removal, video compression, file conversion, image enhancement...) that run entirely in your browser. No server uploads, no sign-up, no limits.”
Hacker News Allplix · 2026-03-12 View thread →
“I'm having trouble running this on my Mac - I've tried Ollama and llama.cpp llama-server so far, both using GGUFs from Hugging Face, but neither worked.”
Hacker News simonw · 2025-07-09 View thread →
“I don't get the Hugging Face endgame. I've worked with their sales teams, and they seem like they are just constantly throwing things at the wall. With the overinflated fundraising they did, I don't know how they're going to justify their valuation.”
Hacker News huhkerrf · 2025-04-23 View thread →

Sentiment data refreshed daily from public Hacker News and Reddit discussions. See all company profiles →

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