Machine Learning Engineer Internship, Hardware Optimization

At Hugging Face, we're pioneering the democratization of good AI through our platform that serves over 5 million users and 100k organizations. Our open-source libraries have garnered more than 400k+ stars on Github, demonstrating our significant impact in the AI community.

The ML Optimization team collaborates with leading hardware innovators like AWS, AMD, Nvidia, Google, Intel, and Habana to optimize model performance across diverse hardware platforms. At the core of these partnerships is Optimum, our open-source library that connects the Hugging Face ecosystem with specific hardware implementations.

As an ML Optimization intern, you'll be instrumental in shaping AI's future by developing cutting-edge solutions for various hardware platforms. You'll work on creating user-friendly tools for model conversion, authoring comprehensive deployment guides, and designing seamless integration flows. Your role involves conducting hardware performance analysis and sharing insights with the community through various channels.

We foster an inclusive culture that values diversity and equity, ensuring all employees feel respected and supported regardless of their background. The position offers significant growth opportunities, working alongside industry experts and contributing to meaningful scientific advancements. You'll benefit from flexible working arrangements, comprehensive support for remote work, and opportunities for professional development through conference attendance and training.

Join us in our mission to democratize machine learning while working with state-of-the-art models, curated datasets, and innovative hardware solutions. Your contributions will directly impact developers and researchers worldwide, making AI more accessible and efficient across different hardware platforms.

This internship offers a unique opportunity to work at the intersection of machine learning and hardware optimization, while being part of a community-driven organization that's leading the AI revolution.