Machine Learning Engineer Intern

At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. Hugging Face maintains a large collection of open source machine learning libraries, including transformers, diffusers, and datasets. These are all implemented in Python, meaning they're not easily accessible to JavaScript/TypeScript developers. We decided to build projects like transformers.js and huggingface.js with the primary goal of bridging the gap between web development and machine learning. WebML unlocks new possibilities for building web applications by enabling models to run locally in the browser. This internship operates at the intersection of software engineering, machine learning, and open-source community building. The focus will be to expand the Hugging Face ecosystem to web developers through the creation and maintenance of easy-to-use JS/TS machine learning libraries. By the end of the internship, the candidate will have touched on many aspects of web machine learning.

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.