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 🌱.
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