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 scientists, product managers, and engineers; optimizing models; driving ML infrastructure innovation; and supporting high-volume, low-latency systems. Candidates need at least three years of professional software development experience, two years of system design or architecture experience, experience with PyTorch or JAX, and two years of large-scale machine-learning infrastructure experience.
