Community ML Research Engineer, non-AI scientific fields - EMEA Remote

Hugging Face, a leading AI platform with over 5 million users and 100k organizations, is seeking a Community Machine Learning Research Engineer focused on non-AI scientific fields. This role combines cutting-edge ML research with community collaboration, particularly in domains like biology, physics, chemistry, quantum, and fluid dynamics. The position offers a unique opportunity to bridge the gap between ML and traditional sciences through research partnerships, tool development, and educational initiatives.

The ideal candidate will work at the intersection of machine learning and various scientific disciplines, developing innovative solutions and fostering relationships with academic and research institutions. They will be responsible for building research collaborations, co-developing ML tools and models, and engaging with the scientific community through various educational initiatives.

Working at Hugging Face means joining a diverse, equity-focused organization that values continuous growth and development. The company offers comprehensive benefits, including flexible working arrangements, health coverage, equity compensation, and strong support for professional development. While remote work is supported, this position is ideally based in Paris, with relocation assistance available.

The role suits someone who thrives in a fast-paced, decentralized environment, possesses deep technical expertise, and can effectively communicate across teams. Join a company that's democratizing good AI while contributing to groundbreaking scientific applications of machine learning.