Description:

Hugging Face is seeking a Machine Learning Engineer Intern for the AI Energy Score project, which focuses on understanding the energy efficiency of machine learning models.
The internship will involve experimentation and analysis related to the energy requirements of different models and deployment contexts, including hardware, optimization techniques, and serving stacks.
The role is fully remote and aims to contribute to making machine learning more accessible while addressing environmental concerns related to energy consumption.
The company values diversity, equity, and inclusivity, and encourages applicants from various backgrounds to apply.

Requirements:

Candidates should have a passion for open-source technology and an interest in making complex technology accessible to engineers and artists.
A creative mindset and an appreciation for art are desirable traits for applicants.
While the company encourages applicants to meet all listed qualifications, they are open to considering candidates who may not tick every box but can still make a significant impact.

Hugging Face offers flexible working hours and remote work options to support employee well-being.
Employees are provided with reimbursement for relevant conferences, training, and education to promote professional development.
The company fosters a collaborative community within the ML/AI field, encouraging significant scientific advancements through teamwork.
Remote employees have the opportunity to visit office spaces located around the world, particularly in the US, Canada, and Europe, and will receive support to outfit their workstation for success.