
Artificial Intelligence • SaaS • Enterprise
Hugging Face is a collaborative platform for the machine learning community, focusing on models, datasets, and applications. It offers a wide range of tools and resources for creating, discovering, and sharing machine learning models and datasets. Hugging Face provides open-source ML tools, including frameworks for PyTorch, TensorFlow, and JAX, as well as advanced solutions for businesses through its enterprise offerings. The company hosts thousands of models, datasets, and applications, serving as a central hub for AI research and development.
51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
October 17

Artificial Intelligence • SaaS • Enterprise
Hugging Face is a collaborative platform for the machine learning community, focusing on models, datasets, and applications. It offers a wide range of tools and resources for creating, discovering, and sharing machine learning models and datasets. Hugging Face provides open-source ML tools, including frameworks for PyTorch, TensorFlow, and JAX, as well as advanced solutions for businesses through its enterprise offerings. The company hosts thousands of models, datasets, and applications, serving as a central hub for AI research and development.
51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
• impact the evolutions of our Machine Learning Hub • work with a supportive team of talented engineers • enjoy autonomy to test implementations • be an early contributor to the biggest platform shift of the decade
• experience working collaboratively across the stack on Online payment systems • experience working in a fast-paced environment • good understanding of low-level systems programming, potentially acquired through the practice of a programming language such as C, Go, or Rust • preferred tech stack is Typescript, Node.js, and MongoDB
• health, dental, and vision benefits for employees and their dependents • 12 weeks of parental leave (20 for birthing mothers) • unlimited paid time off • reimbursement for relevant conferences, training, and education • flexible working hours and remote options • opportunity to visit office spaces in NYC and Paris
Apply NowOctober 17
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