Machine Learning Engineer, Amazon Music - Catalog Quality
Core
Design, build, and operate scalable machine learning pipelines and online serving systems to detect, correct, and enrich music metadata in real-time for the Amazon Music catalog.
Role type
Senior IC machine learning engineer (music catalog quality)
Builds
Real-time metadata detection and correction systems for Amazon Music
Domain
Music streaming + large-scale ML infrastructure
Deliverable
production ML models
Required skills
PyTorch, JAX, large-scale ML infrastructure design, system architecture, online serving, transformer architecture, training/inference lifecycle optimization
Preferred skills
Full software development lifecycle, Master's in computer science, LLM fundamentals
Technologies
PyTorch, JAX, LLMs, computer vision, NLP, deep learning classifiers
Responsibilities
Design and operate scalable ML pipelines and online serving systems; optimize ML model performance with applied scientists; drive technology choices for ML infrastructure; collaborate with product managers and engineers; monitor and troubleshoot high-volume, low-latency systems
