ML Research Engineer Internship, FineWeb

Hugging Face, a leading AI platform company, is seeking a ML Research Engineer Intern to join their FineWeb team. The company is at the forefront of democratizing good AI, with an impressive community of over 5 million users and 100k organizations collectively sharing over 1M models, 300k datasets, and 300k apps.

The internship focuses on advancing the development of high-quality datasets for Large Language Models (LLMs). You'll be working on the FineWeb project, which has already made significant contributions through releases like FineWeb and FineWeb-Edu datasets, along with the distributed processing library datatrove.

As an intern, you'll collaborate with the FineWeb team to build the next generation of web-scale datasets, running distributed data processing, and evaluating data quality through model training. This role is perfect for candidates passionate about open-source development, who combine technical expertise with creativity and a desire to make complex technology more accessible.

Hugging Face offers a supportive, diverse, and inclusive work environment where development and well-being are prioritized. The company provides flexible working arrangements, comprehensive training support, and opportunities to work with leading experts in the ML/AI field. They actively contribute to the ML/AI community and believe in the power of collaborative scientific advancement.

The ideal candidate should have a strong interest in open-source development and ML/AI, though Hugging Face encourages applications from diverse backgrounds and experiences. They value complementary skills and perspectives, focusing on where candidates can make the biggest impact rather than checking every traditional requirement box.