Machine Learning Engineer Internship
November 28
Description
• At Hugging Face, we’re on a journey to democratize good AI. • This internship works at the intersections of software engineering, machine learning engineering, and education. • With a strong focus on distributed training through the accelerate library. • We’ll focus on bringing state-of-the-art training techniques into the library while also documenting and helping teach others how they work. • By the end of this internship, the candidate will have touched on all aspects of distributed training and core library contributions. • If you love open-source but also have an eye for art and creativity, are passionate about making complex technology more accessible to engineers and artists, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application! • We're building a diverse team whose skills, experiences, and background complement one another. • Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. • We care about your well-being. We offer flexible working hours and remote options. • We support the community. We 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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