Ml Research Engineer Intern

Summary

Join the SmolLM team at Hugging Face, a leading open-source machine learning company, as an intern. You will contribute to the development of next-generation small language models by iterating on datasets and models, leveraging a state-of-the-art training infrastructure. This internship involves working with cutting-edge technologies and collaborating with experts in the field. Passion for training LLMs, proficiency in Python, and a desire to contribute to open-source are essential. Hugging Face offers a supportive and inclusive work environment with opportunities for professional development and flexible work arrangements.

Requirements

• Passion for training LLMs and building high-quality datasets
• Proficiency in Python

Responsibilities

• Work alongside the SmolLM team
• Build the next generation of smol language models
• Iterate on datasets and models quickly
• Train models on our distributed training infrastructure

Preferred Qualifications

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

Benefits

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