Machine Learning Engineer Internship, Hardware Optimization

Hugging Face, a pioneering force in AI democratization, is seeking a Machine Learning Engineer Intern for their Hardware Optimization team. With over 5 million users and 100k+ organizations sharing more than 1M models, Hugging Face stands at the forefront of open-source AI development.

The role focuses on optimizing machine learning models across various hardware platforms through partnerships with industry leaders like AWS, AMD, Nvidia, Google, Intel, and Habana. You'll work with Optimum, their open-source library that connects the Hugging Face ecosystem with specific hardware implementations.

As an intern, you'll contribute to developing cutting-edge solutions for both established and emerging hardware platforms. Key projects include creating an online model export tool, writing comprehensive deployment guides, and designing seamless user workflows. You'll conduct performance analysis across different hardware backends and share insights with the broader AI community.

The position offers a unique opportunity to work with world-class experts while making a tangible impact on the AI landscape. Hugging Face emphasizes diversity, equity, and inclusivity, fostering a supportive environment where all employees can thrive. They provide flexible working arrangements, professional development support, and the chance to contribute to significant scientific advancements through collaboration.

The ideal candidate should be passionate about open-source development and AI, with a strong interest in hardware optimization. You'll be joining a company that values community contribution, continuous learning, and the democratization of good AI. This internship provides an exceptional opportunity to shape the future of AI while working with cutting-edge technologies and industry-leading partners.