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.
Hugging Face is committed to building a diverse team and encourages applications from individuals of all backgrounds.

Hugging Face promotes a culture of diversity, equity, and inclusivity, ensuring all employees feel respected and supported.
The company offers reimbursement for relevant conferences, training, and education to support employee development.
Flexible working hours and remote work options are available, with support for employees regardless of their location.
Employees have the opportunity to visit office spaces around the world, and the company will provide necessary equipment to ensure success.
Hugging Face fosters a collaborative community that supports advancements in the ML/AI field.