About this role
The Music Catalog Quality team at Amazon is seeking a Machine Learning Engineer to enhance the accuracy and completeness of music metadata. The team focuses on real-time detection and correction of metadata anomalies, such as misattributed tracks and duplicate content, using advanced AI technologies. Responsibilities include designing and operating scalable ML pipelines, collaborating with applied scientists to transition models from experimentation to production, and maintaining high-volume, low-latency serving systems. Key requirements include 3+ years of professional software development experience, 2+ years of system design experience, and 2+ years of building large-scale ML infrastructure for recommendation, ranking, or search systems. Proficiency in PyTorch or JAX is required. Preferred qualifications include a Master's degree in Computer Science and a strong understanding of LLM fundamentals, including transformer architectures and inference optimization. The role emphasizes operational excellence, cross-functional collaboration, and the ability to drive technology choices for ML infrastructure.