Join the Amazon Music Catalog Quality team as a Machine Learning Engineer. We're dedicated to ensuring accurate, complete, and enriched music metadata across Amazon Music's catalog.

Our mission involves real-time detection, correction, and enhancement of catalog metadata. We utilize advanced technologies such as large language models (LLMs), computer vision, and natural language processing to deliver high-quality, dynamically validated metadata with low latency.

Design, construct, and manage scalable machine learning pipelines and online serving systems. Collaborate closely with applied scientists to enhance ML model performance and implement comprehensive end-to-end solutions. Drive technology selection and foster continuous innovation in ML infrastructure. Partner with product managers, scientists, and engineers to deliver exceptional customer experiences. Maintain strong cross-functional relationships to ensure customer-centric delivery. Contribute to operational excellence through monitoring, troubleshooting, and supporting high-volume systems.

Possess 3+ years of professional software development experience, excluding internships. Have 2+ years of experience in designing or architecting new and existing systems, including patterns, reliability, and scaling. Demonstrated experience working with PyTorch or JAX software. Accumulate 2+ years of experience building large-scale machine learning infrastructure for online recommendations, ad ranking, personalization, or search applications.