Machine Learning Engineer Internship, WebML - EMEA Remote

Hugging Face, a leading AI platform with over 5 million users, is seeking a Machine Learning Engineer Intern for their WebML team. This exciting role sits at the intersection of software engineering, machine learning, and open-source community building. The internship focuses on expanding Hugging Face's ecosystem to web developers through JavaScript/TypeScript machine learning libraries like transformers.js and huggingface.js.

The role involves working on cutting-edge web machine learning technologies, enabling models to run locally in browsers for low-latency, interactive, and privacy-focused applications. You'll be converting and optimizing models for in-browser inference, working with technologies like ONNX, WebGPU, WebNN, and WASM, and building demo applications to showcase new features.

Hugging Face maintains numerous open-source ML libraries with 400k+ GitHub stars and is committed to democratizing good AI. The company values diversity, equity, and inclusivity, offering a supportive environment where you'll work with industry-leading experts. Benefits include flexible remote work, educational support, and the opportunity to contribute to one of the fastest-growing ML ecosystems.

This internship is perfect for someone who loves open-source, has an eye for creativity, and is passionate about making complex technology accessible to engineers and artists. You'll gain hands-on experience with web machine learning while contributing to meaningful projects that bridge the gap between web development and machine learning.

Join a company that supports the ML/AI community, values scientific advancement through collaboration, and offers comprehensive professional development opportunities. Even if you don't meet all requirements, Hugging Face encourages diverse candidates to apply, focusing on where you can make the biggest impact.