Description:

The Machine Learning Engineer Internship at Hugging Face focuses on advancing machine learning and making it more accessible.
The role involves working at the intersections of software engineering, machine learning engineering, and education.
The internship emphasizes distributed training through the accelerate library, aiming to integrate state-of-the-art training techniques into the library.
Responsibilities include documenting training techniques and teaching others about them.
By the end of the internship, candidates will gain experience in large-scale distributed training, API design, writing educational material for a semi-technical audience, and understanding software scalability.

Requirements:

Candidates must provide a cover letter explaining their interest in working in open-source at Hugging Face.
The cover letter should include details about the candidate's skills, potential expertise, and topics they wish to work on.
A passion for making complex technology accessible to engineers and artists is essential.
Candidates should be open to applying even if they do not meet every requirement listed.

Hugging Face values diversity, equity, and inclusivity, fostering a respectful and supportive workplace.
Employees have access to reimbursement for relevant conferences, training, and education to support their development.
The company offers flexible working hours and remote work options, accommodating employees' needs.
Remote employees have the opportunity to visit office spaces located around the world, particularly in the US, Canada, and Europe.
The organization is committed to supporting the ML/AI community through collaboration and shared advancements.