Amazon Music invites a leader in applied science to shape the future of discovery at scale. You will define the roadmap for catalog and search systems, leveraging foundation models to build an intelligence layer over a vast audio catalog.
The role spans architecture, experiments, and mentoring across three teams focused on catalog, search, and data systems. The ideal candidate brings a PhD or MS with 10+ years of research, deep experience in content understanding, and a track record of building
#J-18808-LjbffrPrincipal Applied Scientist, Music Catalog & Search in san francisco at Unknown Company
This position is listed as full time and onsite.