ML Research Engineer Internship, Post-Training - US Remote

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.

About the Role

Post-training is an exciting and fast-moving field of research that is used to enhance the performance of large language models and enable them to follow human instructions. The post-training team at Hugging Face is pushing the frontier of model capabilities by developing recipes [1] that produce state-of-the-art models like Zephyr [2] and NuminaMath [3], which won the 1st Progress Prize of the AI Math Olympiad.

During this internship, you will work alongside the post-training team to implement cutting-edge research and make it accessible to the global AI community in the form of code, datasets, and models. Topics include...