Hugging Face, a leading AI platform with over 5 million users and 100k organizations, is seeking a Machine Learning Engineer Intern for their WebML team. This exciting role bridges the gap between web development and machine learning, focusing on making ML accessible to JavaScript/TypeScript developers.
The internship involves working on crucial projects like transformers.js, diffusers.js, and huggingface.js, enabling machine learning models to run directly in web browsers. This creates opportunities for building privacy-focused, low-latency applications that can reach users without installation requirements.
As an intern, you'll gain hands-on experience in various aspects of web machine learning, including model optimization, browser-based inference, and open-source community building. You'll work with cutting-edge technologies like WebGPU, WebNN, and WASM to achieve near-native performance for in-browser model execution.
Hugging Face offers a supportive, diverse, and inclusive work environment where continuous learning is encouraged. The company provides comprehensive benefits, including flexible working hours, remote options, and educational support. You'll join a community of brilliant minds working to democratize good AI while contributing to one of the fastest-growing ML ecosystems.
This role is perfect for candidates who combine a love for open-source development with creativity and a passion for making complex technology accessible. Even if you don't meet all requirements, Hugging Face values diverse perspectives and encourages all interested candidates to apply.