Machine Learning Engineer Internship, Quantization - US Remote

Hugging Face, the fastest growing platform for AI builders, is seeking a Machine Learning Engineer Intern focused on Quantization. This unique role combines software engineering, machine learning engineering, and education. The internship centers on advancing quantization techniques, which are crucial for reducing computational and memory costs in AI model inference.

The successful candidate will work on integrating cutting-edge quantization methods into the Hugging Face ecosystem, including transformers, accelerate, peft, and diffusers. They'll also maintain existing integrations with tools like bitsandbytes, awq, and autogptq. A key aspect of the role involves creating benchmarks and educational content to help the community understand and utilize these tools effectively.

Hugging Face stands out with its impressive community of over 5 million users and 100k organizations, collectively sharing more than 1M models, 300k datasets, and 300k apps. Their open-source libraries have garnered over 400k+ stars on Github, demonstrating their significant impact in the AI field.

The company offers a supportive, inclusive environment that values diversity and professional growth. They provide flexible working arrangements, comprehensive development opportunities, and strong community engagement in the ML/AI field. This internship is perfect for someone passionate about open-source development, who combines technical expertise with creativity and a desire to make complex technology more accessible.

Join Hugging Face in their mission to democratize good AI while working with some of the smartest people in the industry. The role offers hands-on experience with cutting-edge AI technology and the opportunity to make a real impact in the open-source ecosystem.