Machine Learning Engineer Intern

Summary

Join Hugging Face as an intern to contribute to the AI Energy Score project, focusing on experimentation and analysis to improve the energy efficiency of machine learning models and deployment contexts. This internship builds upon existing work to better understand energy efficiency across various models and deployment scenarios (hardware, optimization techniques, serving stacks). Hugging Face is a fast-growing, open-source organization committed to making machine learning more accessible. The ideal candidate is passionate about open-source, possesses an artistic eye, and desires to contribute to a leading ML ecosystem. While specific requirements aren't explicitly listed, a passion for open-source and a desire to make technology more accessible are highly valued. Hugging Face offers various benefits, including flexible working hours, remote options, and reimbursement for relevant conferences, training, and education.

Responsibilities

Continue experimentation and analysis to get a better understanding of the energy efficiency of different models and deployment contexts (hardware, optimization techniques, serving stacks)

Preferred Qualifications

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

Benefits

• Flexible working hours
• Remote options
• Reimbursement for relevant conferences, training, and education