Applied Science Manager , Amazon Music Catalog Quality
Core
Lead a team of scientists to develop and execute solutions for music catalog metadata quality, including detection, measurement, and remediation of issues in artist info, track attributes, and content tags.
Role type
Senior Applied Science Manager (Music Catalog Quality)
Builds
Foundational quality detection frameworks, metadata validation/correction technologies, agentic AI solutions for catalog anomaly resolution
Domain
Music streaming, Data Quality, Machine Learning
Deliverable
production ML models
Required skills
Team leadership, strategic vision setting, roadmap definition, goal prioritization, metrics establishment, risk management, stakeholder communication, conflict resolution
Preferred skills
Building ML models for business applications, developing complex software systems with deep learning/CV, managing larger teams of scientists/ML engineers
Technologies
Generative AI, Classical ML, NLP, Computer Vision, Automated data validation pipelines, Java, C++, Python
Responsibilities
Manage and grow a team of scientists; define strategic vision and roadmap for catalog quality; establish metrics and scientific processes; identify and mitigate risks; communicate with leaders and stakeholders; collaborate with engineering and product teams
Seniority
Senior, hands-on IC with management responsibilities
