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Hugging Face

β€’
600 employees
Fully Remote

Hugging Face builds the open-source platform where over one million machine learning models are hosted, shared, and deployed by 10,000+ organizations worldwide. This fully remote team of roughly 600 has offices in New York and Paris but works distributed by default, with equity for all employees and flexible PTO.

Benefits & Perks

Health & Wellness

7

Health Insurance

Medical coverage for employees and dependents

Dental Insurance

Dental coverage for employees and dependents

Vision Insurance

Vision coverage for employees and dependents

Life Insurance

Life insurance coverage

Disability Insurance

Disability insurance coverage

Fitness Stipend

Gym membership reimbursement

Wellness Programs

Team workouts, wellness programs, and wellness days

Financial

5

Equity / RSUs

All employees receive company equity

401(k) / Retirement Plan

401(k) retirement plan with company matching

401(k) Match

A 401(k) retirement plan with employer matching contributions is available to U.S. employees.

Employee Stock Purchase Plan

Employee stock purchase plan

Relocation Assistance

Relocation packages available for certain roles

Time Off

4

Flexible Hours

Flexible working hours

Unlimited PTO

Flexible PTO policy with real unlimited time off

Paid Holidays

Paid holidays

Sick Days

Paid sick days

Remote & Equipment

4

Work From Anywhere

Fully distributed company - work from anywhere globally

Company Equipment

Company provides workstation equipment as needed

Company Offsites / Retreats

Opportunities to visit offices in NYC and Paris, company-sponsored outings

Coworking Allowance

Access to global offices and coworking spaces

Family & Care

1

Parental Leave

Generous parental leave policy

Professional Growth

3

Learning & Development Budget

Reimbursement for relevant conferences, training, and education

Conference Attendance

Company-funded attendance at relevant conferences

Certification Support

Company pays for industry certifications

Culture & Perks

2

Team Events & Social Budget

Company-sponsored outings and happy hours

Employee Resource Groups

ERGs: Pride, Women, Mental Health, Parents, language/hobby groups

Tech Stack

JavaScript & Libraries

React
Svelte
Webpack
jQuery
Lodash
Moment.js
Underscore JS
Katex

Frameworks

NGINX
Java Ee

Databases

MongoDB

Infrastructure

Amazon S3
Amazon Cloudfront
Amazon Route 53
AWS Global Accelerator
Cloudflare
Jsdelivr

Analytics & Monitoring

Google Analytics 4
Google Tag Manager
Twitter Analytics
Sentry

Payments

Stripe

Integrations

Amazon Waf
Mailjet
Amazon Ses
Google Workspace
Zendesk
Miro
Zapier
Workable
36 technologies detected

Why Hugging Face

More than one million machine learning models are hosted on the Hugging Face platform, making it the central hub where AI researchers, developers, and companies build, share, and deploy models. Their open-source Transformers library β€” originally released in 2018 β€” has become the standard toolkit for natural language processing, computer vision, and audio tasks. Over 10,000 organizations, from startups to Fortune 500 companies, rely on Hugging Face to develop and ship AI applications.

Founded in 2016 and backed by $400 million in funding from investors including Google, Amazon, Nvidia, and Salesforce, Hugging Face has grown to roughly 600 employees while staying fully remote. The team is distributed globally, with optional office spaces in New York and Paris for those who want them. Their remote policy is straightforward: "We support our employees wherever they are." Workstations are provided as needed, and all remote employees have opportunities to visit the offices.

Hugging Face offers equity to every employee, flexible PTO, flexible working hours, and reimbursement for conferences, training, and education. The company continues to expand beyond language models β€” their 2025 LeRobot initiative is bringing the same open-source philosophy to robotics with affordable hardware and open libraries for developers.

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6 positions

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Hugging Face
Remote
United States
9 months ago

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