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 hardware. The ideal candidate is passionate about open-source, possesses artistic sensibilities, and desires to make complex technology more accessible. Hugging Face values diversity and inclusivity, offering flexible working hours, remote options, and reimbursement for relevant conferences, training, and education. While specific requirements aren't explicitly stated, a passion for open-source and a desire to improve ML accessibility are highlighted. The company fosters a collaborative and supportive environment.

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

• Reimbursement for relevant conferences, training, and education
• Flexible working hours and remote options
• Support for employees wherever they are
• Opportunity to visit offices (if remote)
• Outfit your workstation (if needed)