ML Research Engineer Internship, Post-Training

Hugging Face, a leading platform in AI democratization, is seeking a ML Research Engineer Intern for their post-training team. This role focuses on enhancing large language models and enabling them to follow human instructions. You'll work alongside experts using state-of-the-art training infrastructure, including H100s, to implement cutting-edge research in LLM development.

The post-training team has achieved significant success with projects like Zephyr and NuminaMath, with the latter winning the 1st Progress Prize of the AI Math Olympiad. You'll contribute to developing advanced recipes for model capabilities and make these innovations accessible to the global AI community through code, datasets, and models.

The ideal candidate should have a passion for open-source development, an appreciation for combining technical expertise with creativity, and a desire to make complex technology more accessible. You'll be joining a diverse, inclusive team that values continuous growth and development.

Hugging Face offers a supportive work environment with flexible hours, remote options, and comprehensive development support. The company maintains office spaces globally but embraces a distributed work culture. They provide reimbursement for relevant conferences, training, and education, demonstrating their commitment to employee growth.

The company stands out for its commitment to scientific advancement through collaboration, maintaining an active community of over 5 million users and 100k organizations. Their open-source libraries have garnered more than 400k+ stars on Github, reflecting their significant impact in the AI field.

This internship offers a unique opportunity to work at the forefront of AI development while contributing to the democratization of good AI. You'll gain hands-on experience with cutting-edge technology while working in an inclusive, growth-oriented environment that supports both professional development and work-life balance.