Machine Learning Engineer, WebML

Summary

Join Hugging Face and help democratize good AI by expanding our ecosystem to web developers! We are building easy-to-use JS/TS machine learning libraries, bridging the gap between web development and machine learning. This role blends software engineering, machine learning, and open-source community building. You will focus on creating and maintaining these libraries, leveraging WebML to enable models to run locally in the browser. We seek candidates with experience in open-source community management, ONNX/quantization, and web technologies like WebGPU, WebNN, and WASM. If you're passionate about web machine learning and open source, apply!

Requirements

• Manage open source community: issue tracking, PR review, etc
• Convert and optimize models for in-browser inference using ONNX and quantization
• Leverage web technologies like WebGPU, WebNN, WASM to enable running models in-browser at near-native speeds
• Build demo applications to showcase new features
• Experience in aspects of web machine learning

Responsibilities

Expand the Hugging Face ecosystem to web developers through the creation and maintenance of easy-to-use JS/TS machine learning libraries

Preferred Qualifications

Utilize tools like optimum, torch dynamo, onnxscript, onnxruntime-genai

Benefits

• Flexible working hours and remote options are offered
• Reimbursement for relevant conferences, training, and education is provided