Remote Machine Learning Engineer Internship, Quantization - EMEA Remote

Description:

• Hugging Face is seeking a Machine Learning Engineer Intern focused on quantization, which is a technique to reduce computational and memory costs by using low-precision data types.
• The internship will involve integrating new quantization methods into the Hugging Face ecosystem, including transformers, accelerate, peft, and diffusers.
• The intern will also maintain existing integrations such as bitsandbytes, awq, and autogptq.
• A key responsibility will be to raise community awareness of these tools through benchmarks and blog posts.
• The ultimate goal of the internship is to advance quantization within the open-source ecosystem.
• The role combines software engineering, machine learning engineering, and education.

Requirements:

• Candidates should have a passion for open-source technology and a creative approach to making complex technology accessible.
• A strong interest in contributing to a rapidly growing machine learning ecosystem is essential.
• Applicants are encouraged to apply even if they do not meet every requirement, as the company values diverse skills and experiences.
• A commitment to diversity, equity, and inclusivity is important, as Hugging Face aims to create a respectful and supportive workplace.

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.
• Workstations will be outfitted to ensure employees can succeed in their roles.
• Hugging Face fosters a collaborative community that supports advancements in the ML/AI field.