ML Research Engineer Internship
November 28
Description
• 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. • Our open-source libraries have more than 400k+ stars on Github. • Post-training is an exciting and fast-moving field of research that is used to enhance the performance of large language models. • During this internship, you will work alongside the post-training team to implement cutting-edge research. • You will have access to a state-of-the-art training codebase, a large research cluster of H100s, and domain experts in Hugging Face's science team. • If you enjoy training LLMs and working across the whole deep learning stack, we’d love to hear from you! • We encourage you to apply even if you don't tick every box above! • We value development and provide reimbursement for relevant conferences, training, and education. • We care about your well-being and offer flexible working hours and remote options. • We support the community and believe significant scientific advancements are the result of collaboration across the field.
Requirements
• Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. • We encourage you to mention your skills, potential expertise, and topics on which you would like to work.
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