Description:

Hugging Face is seeking an ML Research Engineer Intern for a full-time position that is remote in the EMEA region.
The company aims to advance machine learning and make it more accessible while contributing to technology development for the better.
Hugging Face has created the fastest-growing open-source library of pre-trained models, with over 500K models and 250K stars on GitHub, utilized by over 15,000 companies, including major AI organizations like Google and Salesforce.
The intern will work with the FineWeb team to build high-quality web data by running distributed data processing and evaluating data quality through training small models.
The role emphasizes the importance of high-quality datasets for strong LLMs and aims to open-source the best datasets for community use.
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 topics they wish to work on during the internship.
A passion for making complex technology accessible to engineers and artists is essential.
Candidates should have an appreciation for open-source and creativity.

Hugging Face offers reimbursement for relevant conferences, training, and education to support employee development.
The company provides flexible working hours and remote work options, ensuring support for employees regardless of their location.
Employees have the opportunity to visit office spaces around the world, particularly in the US, Canada, and Europe.
Workstations will be outfitted to ensure employees can succeed in their roles.
Hugging Face fosters a community that supports collaboration and significant scientific advancements in the ML/AI field.