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 — originally released in 2018 — 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 — their 2025 LeRobot initiative is bringing the same open-source philosophy to robotics with affordable hardware and open libraries for developers.