Machine Learning Engineer Intern

Summary

Join Hugging Face as an intern and contribute to the expansion of our open-source machine learning ecosystem for web developers. You will focus on creating and maintaining user-friendly JavaScript/TypeScript machine learning libraries. This internship blends software engineering, machine learning, and open-source community building. You'll gain experience in converting and optimizing models for in-browser inference, enabling models to run at near-native speeds, building demo applications, and fostering a collaborative open-source community. The ideal candidate is passionate about open-source, making technology accessible, and contributing to a fast-growing ML ecosystem. Even if you don't meet every requirement, we encourage you to apply.

Requirements

• Passion for open-source
• Desire to make complex technology more accessible to engineers and artists
• Interest in contributing to a fast-growing ML ecosystem

Responsibilities

• Create and maintain ease-to-use JS/TS machine learning libraries
• Convert and optimize models for in-browser inference (ONNX, quantization)
• Enable models to run in-browser at near-native speeds (WebGPU, WebNN, WASM)
• Build demo applications to showcase new features
• Foster a collaborative open-source community

Preferred Qualifications

An eye for art and creativity

Benefits

• Reimbursement for relevant conferences, training, and education
• Flexible working hours
• Remote options
• Opportunity to visit offices (if remote)
• Workstation outfitting (if needed)