Remote Machine Learning Engineer Internship, AI Energy Score - EMEA Remote
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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 within the EMEA region and is a full-time position.
The company values diversity, equity, and inclusivity, aiming to create a respectful and supportive workplace for all employees.
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 applications from those who meet all criteria, they are open to considering candidates who may not tick every box but can still make a significant impact.
Benefits:
Hugging Face offers reimbursement for relevant conferences, training, and education to support employee development.
The company provides flexible working hours and remote work options, ensuring support for employees regardless of their location.
Employees have the opportunity to visit office spaces around the world, particularly in the US, Canada, and Europe, and the company will outfit workstations to ensure success.
Hugging Face fosters a community that supports collaboration within the ML/AI field, emphasizing the importance of scientific advancements through teamwork.