Machine Learning Engineer Intern

Summary

Join Hugging Face as an intern and contribute to the development of our accelerate library, focusing on distributed training techniques. This internship blends software engineering, machine learning engineering, and education, offering hands-on experience in large-scale distributed training, API design, and creating educational materials. You will work with state-of-the-art training techniques, contributing to a fast-growing open-source ML ecosystem. The ideal candidate is passionate about open-source and making complex technology accessible. Hugging Face values diversity and offers a supportive work environment with flexible hours and remote options, along with professional development opportunities.

Requirements

• Passion for open-source and making complex technology more accessible to engineers and artists
• Desire to contribute to one of the fastest-growing ML ecosystems

Responsibilities

• Bring state-of-the-art training techniques into the accelerate library
• Document and help teach others how state-of-the-art training techniques work
• Contribute to all aspects of distributed training and core library contributions
• Work on large-scale distributed training
• Contribute to API design
• Write educational material aimed at a semi-technical audience
• Understand the nuances of writing software that scales

Preferred Qualifications

Love of open-source combined with an eye for art and creativity

Benefits

• Reimbursement for relevant conferences, training, and education
• Flexible working hours
• Remote options
• Opportunity to visit offices (if remote)
• Workstation outfitting (if needed)