Machine Learning Engineer, WebML

Summary

Join Hugging Face, a rapidly growing platform for AI builders, and contribute to the development and maintenance of JavaScript/TypeScript machine learning libraries. This role blends software engineering, machine learning, and open-source community building, focusing on expanding the Hugging Face ecosystem to web developers. You will work on projects like transformers.js and huggingface.js, bridging the gap between web development and machine learning. The position involves optimizing models for in-browser inference using WebML and related technologies. You'll collaborate with a diverse team and contribute to the open-source community. Hugging Face offers a supportive and inclusive work environment with flexible working hours and remote options.

Requirements

• Have experience in aspects of web machine learning
• Possess experience with open source community management
• Have experience with ONNX and quantization
• Have experience with web technologies like WebGPU, WebNN, WASM
• Have JavaScript/web development experience

Responsibilities

• Manage open source community: issue tracking, PR review, etc
• Convert and optimize models for in-browser inference using ONNX and quantization
• Utilize tools like optimum, torch dynamo, onnxscript, and onnxruntime-genai
• Employ web technologies such as WebGPU, WebNN, and WASM to enable near-native speed model execution in the browser
• Build demo applications to showcase new features

Benefits

• Flexible working hours and remote options are available
• Reimbursement for relevant conferences, training, and education is provided
• Company supports employees' well-being