Principal Applied Scientist, Music Catalog and Search, Amazon Music Search and Catalog
Core
Define and execute the applied science roadmap for Amazon Music catalog and search systems, leveraging foundation models to enhance content intelligence and customer discovery experiences.
Role type
Principal Applied Scientist (Music Catalog & Search)
Builds
Intelligence layer on top of Amazon's largest music and podcast catalog for global and local markets
Domain
Digital Media / Music Streaming / Applied Science / Foundation Models
Deliverable
production ML models
Required skills
Applied research, content understanding systems, foundational models, large-scale content systems, architectural design, technical roadmap definition, experiment design, mentoring senior talent
Preferred skills
Large knowledge graphs, large scale distributed data systems, search retrieval and ranking, online experiment evaluation
Technologies
Foundation models, distributed data systems, search systems
Responsibilities
Lead design and implementation of applied science solutions for large-scale music catalog systems; Define and execute technical roadmap for catalog and search teams; Design and collaborate on experiments for search, personalization, and recommendation systems; Drive technical excellence across teams via design reviews and standards; Solve complex problems at the intersection of content systems and applied science
Seniority
Principal, strategy & mentorship
