Remote Machine Learning Engineer Internship, Quantization - US Remote
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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.
Apply now
Please, let Hugging Face know you found this job
on RemoteYeah
.
This helps us grow π±.