Description
The Music Catalog Quality team is hiring a Machine Learning Engineer to design, build, and operate scalable machine learning pipelines and online serving systems for detecting, correcting, and enriching music metadata. The role involves collaborating with applied scientists, product managers, and engineers; optimizing models from experimentation through production; driving ML infrastructure innovation; and supporting monitoring, troubleshooting, and high-volume, low-latency systems. Candidates need at least one year of non-internship professional software development experience and experience with a general-purpose programming language; a bachelor's degree in computer science or equivalent and knowledge of computer science fundamentals are preferred.
