Machine Learning Engineer Intern

November 28

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Logo of Hugging Face

Hugging Face

machine learning β€’ natural language processing β€’ deep learning

Description

β€’ At Hugging Face, we’re on a journey to democratize good AI. β€’ We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations. β€’ Our open-source libraries have more than 400k+ stars on Github. β€’ In the past year the focus of building LLMs has gradually shifted from pretraining to post-training. β€’ This means spending more and more time on figuring out how to get models follow instructions reliably, use tools and generally align with certain values. β€’ With over 10k Github stars and close to 1M monthly installs the TRL library has become one of the go-to libraries for post-training. β€’ It scales flexibly from a single GPU to large clusters of GPUs using PEFT and ZeRO. β€’ During this internship, you will collaborate with the research team to integrate cutting-edge methods into the library. β€’ Your contributions will directly influence thousands of developers globally, advancing the adoption of state-of-the-art post-training techniques.

Requirements

β€’ Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. β€’ We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

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