Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Funding and backers

Total raised
$394.7M
5 rounds on record
Latest round
$235M
Series D · 2023 · 3 yr ago
Team
201-500
employees, estimated range
Hiring now
5
+2 posted in 30 days
Backers
10
Betaworks, Premji Invest
The money's age
Long since its last round
39 months since the last round · and hiring
Momentum
31/100
hiring for its size, in the news
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Aug 28 On the Hacker News front page GLM-5.3 is now open-weight · 806 points Jan 21 Launched on Hacker News Show HN: Sweep, Open-weights 1.5B model for next-edit autocomplete Dec 1, 2025 On the Hacker News front page DeepSeek-v3.2: Pushing the frontier of open large language models [pdf] · 982 points 2023 Raised a round Series D $235M 2022 Raised a round Series C $100M 2021 Raised a round Series B $40M Nov 27, 2019 Raised a round Venture round $19.7M · SEC Form D May 4, 2018 New executive Julien Chaumond, Co-Founder & Chief Technology Officer · SEC Form D Apr 20, 2018 Took on debt financing $3.3M · SEC Form D 2016 Founded
Tractionpublic signals, read monthly
Web presence
top 0.01%
of 133.2M domains by links, Common Crawl
GitHub stars
391 public repositories
Launched on Hacker News
534 points
Funding rounds
RoundDateAmountInvestorsSource
Series D 2023 $235M —
Series C 2022 $100M —
Series B 2021 $40M —
Venture round Nov 2019 $19.7M — SEC Form D
Debt Financing Apr 2018 $3.3M — SEC Form D
Registers and programsofficial lists and records that name the company
Legal entity Hugging Face Inc SEC Form D
Founders and leadersfrom filings, registers and the company's site
Clement DelangueCo-Founder & Chief Executive Officer
Julien ChaumondCo-Founder & Chief Technology Officer
Thomas WolfCo-Founder & Chief Science Officer
Clement DelangeExecutive Officer, DirectorSEC Form D
Clment DelangueExecutive Officer, DirectorSEC Form D
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Visa sponsorship

  • United States · H-1B filings in 12 months: 1

Visa details by country

Overview

Hugging Face is an American company, founded in 2016 and headquartered in New York, that runs the largest open platform for sharing machine learning models, datasets and demonstration applications. Its Hub hosts more than a million public models and is often described as the GitHub of machine learning, while its open-source libraries such as Transformers, Diffusers and Datasets are standard tools in research and production pipelines. The company earns revenue from paid Hub features, managed inference endpoints and enterprise deployments, and works with cloud and chip vendors to make open models easy to run anywhere.

News

News huggingface 1 month ago
Fruit Fly Simulation - a Hugging Face Space by Xenova
Draw on the brain canvas to activate selected neurons, then trigger a pulse to see a 3-D fruit fly respond with walking, turning or flying. You can also choose preset actions, adjust stimulation st...
Read more
Report
News huggingface.co 1 month ago
The Ultra-Scale Playbook
The ultimate guide to training LLM on large GPU Clusters
Read more
Report
Report
News huggingface 1 month ago
ApolloRaines/Jenzin-Wuang-Nemotron-30B-A3B-BF16 Hugging Face
We're on a journey to advance and democratize artificial intelligence through open source and open science.
Read more
Report
Show more news

Tech stack

Technologies named in job postings at Hugging Face over the last 12 months, by layer, with the share of postings for each.
Technologies in use
30
Postings analysed
9
Stack modernity
72/100
Languages
Python
TypeScript
JavaScript
C++
Frameworks & libraries
Gradio
React.js
Svelte
FastAPI
Cloud & platforms
GitHub
LiveKit
vLLM
AWS
Sign in to see how your skills match this stack Sign In
Full Hugging Face tech stack 30 technologies · by team · pay by technology · changes · similar stacks

Products

Inference Endpoints
Inference Endpoints is a managed service that deploys any Hub model to autoscaling production infrastructure. It handles GPU provisioning, security and monitoring so teams avoid running their own serving stack.
huggingface.co
Spaces
Spaces lets anyone deploy an interactive machine learning demo from a repository with a few lines of configuration. It supports Gradio, Streamlit, Docker and static applications on shared or dedicated hardware.
huggingface.co
Datasets
Datasets is a library and catalogue for loading, streaming and processing large machine learning corpora. It standardises access to thousands of public datasets with efficient memory handling.
huggingface.co
Transformers
Transformers is Hugging Face's open-source library providing a common interface to thousands of pretrained models across text, vision and audio. It is one of the most widely used machine learning packages in existence.
huggingface.co
Hub
The Hub is a hosting platform for machine learning models, datasets and interactive demos with version control built on Git. It is the central distribution point for the open-source model ecosystem.
huggingface.co

People

Clement Delangue
Co-Founder & Chief Executive Officer
Clement Delangue co-founded Hugging Face in 2016 and leads it as chief executive, steering the company towards open-source machine learning. He earlier built the note-taking startup VideoNot.es and worked on machine learning products at Moodstocks and eBay.
Julien Chaumond
Co-Founder & Chief Technology Officer
Julien Chaumond co-founded Hugging Face and leads its engineering and platform organisation. He drives the architecture of the Hub and its open-source libraries.
Thomas Wolf
Co-Founder & Chief Science Officer
Thomas Wolf co-founded Hugging Face and leads its research agenda, including the Transformers library and large open collaborations such as BigScience. He is a frequent voice in the open science community.
Clement Delange
Executive Officer, Director
Clment Delangue
Executive Officer, Director
Brandon Reeves
Director
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data

Growth

Hiring Momentum
85/100
Scaling fast
Open positions
5
2 opened / 4 closed in 30 days
Median time-to-fill
36 days
faster than 35% of the market
ATS activity
Every ~6 hours
Today
Hiring Dynamics +100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
71% ▲
Backend
29% ▼
Actively hiring for AI/ML (+4 in 30 days)
Activity Timeline
Added FastAPI to stack Sep 2026
Added Machine Learning to stack Sep 2026
Added Discord to stack Sep 2026
Added Voice Agents to stack Sep 2026
Added WebSockets to stack Sep 2026
Added WebRTC to stack Sep 2026
Added Text-to-Speech to stack Sep 2026
Added Speech Recognition to stack Sep 2026
Added Quantization to stack Sep 2026
Added Multimodal AI to stack Sep 2026
Added llama.cpp to stack Sep 2026
Added LiveKit to stack Sep 2026

Offices

Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
New York
New York United States
HQ
1 open roles 1 posted in 90 days 100% engineering 100% remote 200-500 est. staff
hires for AI/ML
seen since May 2026 job postings

Jobs

≈ $134k – $242k per year (Estimated) • Remote (United States) • Full-Time • Master's Degree
Python
JavaScript
TypeScript
FastAPI
AI/ML
Gradio
Hugging Face
LiveKit
Machine Learning
Frontend
Svelte
React.js
DevOps
WebRTC
WebSockets
GitHub
Apply
≈ $54k – $105k per year (Estimated) • Remote (EMEA) • Full-Time • Master's Degree
Python
JavaScript
TypeScript
FastAPI
AI/ML
Gradio
Hugging Face
LiveKit
Machine Learning
Frontend
Svelte
React.js
DevOps
WebRTC
WebSockets
GitHub
Apply
≈ $56k – $110k per year (Estimated) • Remote (EMEA) • Full-Time • Master's Degree • Paris
Python
llama.cpp
Quantization
Multimodal AI
Speech Recognition
Hugging Face
Text-to-Speech
LiveKit
Edge AI
Voice Agents
Machine Learning
DevOps
WebRTC
WebSockets
GitHub
Apply
≈ $138k – $302k per year (Estimated) • Remote (United States) • Full-Time • New York
Python
vLLM
Fine-tuning
JAX
Gradio
Accelerate
Transformers
TensorFlow
PyTorch
Hugging Face
Machine Learning
DevOps
GitHub
Management
Slack
Discord
Apply
≈ $50k – $107k per year (Estimated) • Remote (EMEA) • Full-Time • Paris
Python
vLLM
Fine-tuning
JAX
Gradio
Accelerate
Transformers
TensorFlow
PyTorch
Hugging Face
Machine Learning
DevOps
GitHub
Management
Slack
Discord
Apply

Financials

Total raised
$398M
Latest round
Series D
Funding rounds
5
Investors
5
Funding rounds
Round Announced Amount Valuation
Series D 2023 $235M $4.5B
Series C 2022 $100M $2B
Series B 2021 $40M —
Venture - Series Unknown 2019 $19.7M — Details
Debt Financing 2018 $3.3M — Details
Key Investors
NVIDIA $235M
NVIDIA invested in Hugging Face's Series D and collaborates on accelerated training and inference services. The partnership brings GPU-backed compute directly to Hub users.
nvidia.com
Google $235M
Google joined Hugging Face's Series D alongside other strategic backers. The two companies also partner on making open models available through Google Cloud.
google.com
Salesforce Ventures $235M
Salesforce Ventures led the 2023 Series D that valued Hugging Face at four and a half billion dollars. The round brought in a broad group of strategic corporate investors.
salesforceventures.com
Coatue Management $100M
Coatue Management led Hugging Face's Series C at a two billion dollar valuation. The firm invests across public and private technology markets.
coatue.com
Lux Capital $40M
Lux Capital led Hugging Face's Series B round in 2021. The New York firm invests in emerging science and technology companies.
luxcapital.com