Machine Learning Engineer Internship, Quantization Internship

Summary:

• Hugging Face is offering an internship in machine learning focused on quantization techniques to reduce computational and memory costs during inference.
• The internship works across software engineering, machine learning engineering, and education.
• Responsibilities include integrating and maintaining quantization methods in the Hugging Face ecosystem and raising community awareness through benchmarks and blog posts.

Responsibilities:

• Integrate new quantization methods in the Hugging Face ecosystem (transformers, accelerate, peft, diffusers).
• Maintain existing quantization integrations (bitsandbytes, awq, autogptq).
• Drive forward quantization in the open-source ecosystem.
• Raise community awareness of quantization tools through benchmarks and blog posts.

Requirements:

• Passion for open-source and creative technology.
• Interest in making complex technology more accessible.
• Desire to contribute to a rapidly growing machine learning ecosystem.
• Ability to collaborate with a diverse team.
• Familiarity with machine learning engineering concepts, especially quantization techniques.

Benefits:

• Work with a diverse and inclusive team.
• Flexible working hours and remote work options.
• Reimbursement for relevant conferences, training, and education.
• Opportunity to visit Hugging Face offices globally.
• Support for workstation setup to ensure success.

Tagged as: France, Machine Learning, Open Source, Quantization, Software Engineering