Machine Learning Engineer Intern

Summary

Join Hugging Face as an intern and contribute to advancing good Machine Learning by integrating new quantization methods into the Hugging Face ecosystem. This internship blends software engineering, machine learning engineering, and education, focusing on improving the accessibility of quantization techniques. You will maintain existing integrations, create benchmarks and blog posts to educate the community, and ultimately drive forward quantization in the open-source ecosystem. The ideal candidate is passionate about open-source, making complex technology accessible, and contributing to a fast-growing ML ecosystem. Hugging Face values diversity, equity, and inclusivity and offers a supportive work environment with flexible hours and remote options.

Responsibilities

• Integrate new quantization methods in Hugging Face ecosystem (transformers, accelerate, peft, diffusers)
• Maintain existing integration (bitsandbytes, awq, autogptq)
• Make sure that the community is aware of these tools through benchmarks and blogposts
• Drive forward quantization in the open source ecosystem

Preferred Qualifications

• Love open-source
• Have an eye for art and creativity
• Passionate about making complex technology more accessible to engineers and artists
• Want to contribute to one of the fastest-growing ML ecosystems

Benefits

• Reimbursement for relevant conferences, training, and education
• Flexible working hours
• Remote options
• Opportunity to visit offices
• Outfit your workstation if needed