Machine Learning Engineer II, Amazon Music - MusicIQ

We are seeking a Machine Learning Engineer to join the MusicIQ team and drive the design and evolution of scalable, high-performance machine learning systems. In this role, you will work at the intersection of large-scale distributed systems, data pipelines, and applied ML/AI, building platforms that power content intelligence, and catalog serving at Amazon <scale.You> will partner closely with Applied Scientists, Product Managers, and partner engineering teams to deliver systems that are reliable, cost-efficient, and optimized for both offline processing and real-time customer experiences. Your work will focus on improving system scalability, data quality, and operational efficiency, while enabling faster iteration and integration of AI-driven capabilities across the catalog ecosystem.Key job responsibilities- Enhance core ML infrastructure for tagging music content and improve music similarity capabilities.- Partner with research scientists to deploy scalable ML models to production, improving model performance and architecture.- Investigate design approaches, prototype new technologies, and evaluate their technical feasibility (e.g., AutoML, real-time ML serving systems).- Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models.- Develop and maintain platforms and services for building, evaluating, and deploying machine learning models used in real-world applications.