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Hugging Face

Democratizing AI through open-source tools and collaborative innovation

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Technology
Founded 2016
20 Jay Street, Suite 620, Brooklyn, New York, United States
Profile last updated: July 2026

About Hugging Face

TechnologyFounded 2016

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Quick Facts

  • IndustryTechnology
  • Founded2016
  • Headquarters20 Jay Street, Suite 620, Brooklyn, New York, United States

What Sets Us Apart

Open-Source Mission First

Democratizing AI by making cutting-edge machine learning tools accessible to everyone, not just large tech corporations. We believe in collaborative innovation and community-driven development.

Remote-First & Flexible Culture

Work with flexibility and freedom from anywhere in the world. We prioritize work-life balance and create space for meaningful contributions while maintaining a genuinely connected global team.

Hire Exceptional Talent Over Filling Roles

We invest in hiring the best people and empower them to do their best work. Every team member is valued for their unique perspective and contribution to advancing AI for humanity.

Our Culture

The lived experience at Hugging Face

Move Fast, Stay Focused

Teams operate with agility and purpose, making decisions quickly without bureaucratic delays. There's an emphasis on shipping real value and learning by doing, not getting bogged down in process.

Pluralism & Decentralized Thinking

The workplace celebrates diverse perspectives and encourages decentralized decision-making. Different voices and approaches are actively sought out and valued, creating richer solutions and stronger outcomes.

Kind Ambition

People pursue bold, ambitious goals while maintaining genuine care for colleagues and community. Competition is friendly, feedback is constructive, and success is celebrated together rather than siloed.

Open Source DNA

The culture deeply embeds open-source thinking—transparency, collaboration, and sharing knowledge freely. Employees feel empowered to contribute to the broader AI community, not just internal projects.

Continuous Learning & Growth

There's an expectation and opportunity to keep learning as AI evolves rapidly. Hugging Face invests in development and creates space for people to explore new ideas, upskill, and take on stretch assignments.

Mission-Driven Work

Every project connects to a larger purpose: democratizing AI. This creates meaning beyond paychecks, motivating teams to innovate and persist through challenges knowing their work impacts millions globally.

Our Culture DNA

The core values that drive Hugging Face

DemocratizationOpen-SourceCollaborationInnovationAccessibilityCommunityAgilityAmbitionLearningKindnessPluralismDecentralizationImpact

Frequently Asked Questions about Hugging Face

Common questions about working at Hugging Face, their culture, and benefits.

Hugging Face is on a mission to advance and democratize Natural Language Processing and artificial intelligence. We aim to make AI accessible to developers, researchers, and businesses worldwide by providing open-source tools, pre-trained models, and a collaborative platform where everyone can build, share, and contribute to the future of machine learning.

Our interview process is designed to be flexible and scrappy—you won't be bogged down in weeks or months of interviews. We prioritize hiring the best people based on your experience and expertise rather than simply filling roles. Our main focus is understanding your background and your potential to contribute to our mission of democratizing AI.

Yes, Hugging Face offers remote-friendly work arrangements and flexible work options. We have a distributed global team and provide benefits tailored to your country of residence. We believe great talent isn't limited by geography, and we're committed to supporting work-life balance across our organization.

The transformers library is Hugging Face's flagship open-source project built for natural language processing applications. It has become an essential tool for building state-of-the-art NLP models and is widely used by researchers, data scientists, and engineers across industries to develop machine learning applications.

Absolutely. Hugging Face operates as the GitHub of machine learning, providing a platform where researchers, data scientists, and engineers can share machine learning models and datasets, showcase their work, and collaborate with the global AI community. This democratizes AI by making cutting-edge work accessible to everyone.

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This profile is based on data from LinkedIn, Glassdoor, Indeed, and the company's public career page. All certifications are independently verified by Best Practice Institute.