Description:

Hugging Face is seeking an ML Research Engineer Intern to contribute to the development of high-quality web data.
The intern will work alongside the FineWeb team to build the next generation of datasets by running distributed data processing and evaluating data quality through training small models.
The role emphasizes the importance of high-quality datasets as the foundation for strong LLMs and aims to open-source these datasets for community use.
The internship is remote and offers the opportunity to engage with a diverse team in a fast-growing ML ecosystem.
Hugging Face values diversity, equity, and inclusivity, and encourages applications from individuals with varied backgrounds and experiences.

Requirements:

Applicants must provide a cover letter explaining their interest in working in open-source at Hugging Face.
The cover letter should highlight the applicant's skills, potential expertise, and specific topics they wish to work on during the internship.
A passion for making complex technology accessible to engineers and artists is desired.

Hugging Face offers flexible working hours and remote work options to support employee well-being.
Employees have the opportunity to visit office spaces located around the world, particularly in the US, Canada, and Europe.
The company provides reimbursement for relevant conferences, training, and education to promote professional development.
Hugging Face fosters a collaborative community that supports advancements in the ML/AI field.