Remote Machine Learning Engineer Internship, Quantization - US 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 is to advance quantization within the open-source ecosystem.
• The role is suitable for individuals who are passionate about making complex technology accessible to engineers and artists.

Requirements:

• Candidates should have a strong interest in open-source technology and a creative mindset.
• A passion for making complex technology more accessible is essential.
• While not all qualifications are mandatory, applicants are encouraged to apply even if they do not meet every requirement.
• Hugging Face values diversity and encourages applications from individuals with varied skills, experiences, and backgrounds.

Benefits:

• 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, 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.