The Cloud Machine Learning Engineer will build ML solutions on cloud platforms, integrate Hugging Face libraries, ensure performance, and develop robust APIs.

Develop specialized software for real-world machine learning use cases, optimize system performance, and manage production environment health.

As an Open-Source Machine Learning Engineer, you will enhance the ML ecosystem by collaborating with users, contributors, and improving open-source libraries.

Hugging Face invites candidates to apply for various roles, aiming to match them with opportunities that leverage their talents and promote a diverse workplace culture.

As a Senior Frontend Engineer, you'll develop complex UI components using TypeScript and JS frameworks, maintain an open-source library, and collaborate with a diverse team to enhance user experience.

As a Senior Frontend Engineer, you'll build UI components using core web technologies and Python, maintain open-source libraries, and collaborate with users in the AI community.

As the International HR Ops, you will manage employee onboarding, offboarding, and benefits, coordinate recruitment, and improve HR processes.

As a Machine Learning Engineer, you will develop specialized software for machine learning use cases, enhance system performance, and manage production environments.

As a Machine Learning Engineer, you'll focus on integrating hardware with Hugging Face's machine learning models, enhancing performance and usability. You'll work on low-level system integrations, compiler support, and framework optimizations.

The Cloud Machine Learning Engineer will build machine learning solutions leveraging cloud technologies, integrating Hugging Face technologies, and ensuring optimal performance of models.

The Machine Learning Engineer at Hugging Face will develop and maintain JS/TS libraries for machine learning, bridging web and ML technologies, and managing the open-source community.

The intern will work on creating and maintaining JS/TS machine learning libraries, optimizing models for in-browser inference, and building demo applications.