Principal Applied Scientist, Music Catalog and Search, Amazon Music Search and Catalog

Amazon Amazon · Big Tech · San Francisco, CA · Applied Science

Principal Applied Scientist role at Amazon Music focused on leveraging foundation models to enhance music discovery, catalog understanding, and search systems. The role involves leading the design and implementation of applied science solutions, defining technical roadmaps, and driving technical excellence across multiple teams to improve customer experiences and content creator success.

What you'd actually do

  1. Lead the design and implementation of applied science solutions for large-scale music catalog systems, leveraging foundational models to enhance content intelligence and understanding
  2. Define and execute the technical roadmap for Amazon Music catalog and search teams, driving architectural decisions across multiple systems and ensuring alignment with long-term business objectives
  3. Design, propose, and collaborate on experiments that leverage rich music content for enhanced customer experiences in search, personalization, and recommendation systems
  4. Drive technical excellence across three teams (music catalog, music search, music data systems) by conducting design reviews, setting engineering standards, and mentoring senior technical talent
  5. Solve complex problems at the intersection of content systems and applied science, proactively identifying risks and implementing solutions that balance short-term deliverables with long-term architectural maintainability

Skills

Required

  • PhD, or Master's degree and 10+ years of applied research experience
  • Experience working in content understanding systems in digital media
  • Experience building applied science solutions on top of foundational models

Nice to have

  • Experience in large knowledge graphs
  • Experience with large scale distributed data systems
  • Experience in search retrieval and ranking
  • Experience in designing and evaluating online experiments

What the JD emphasized

  • applied science roadmap
  • foundation models
  • customer satisfaction
  • partner team success
  • music labels' ability to share high-quality content seamlessly
  • content understanding systems in digital media
  • applied science solutions on top of foundational models
  • search retrieval and ranking
  • evaluating online experiments

Other signals

  • foundation models
  • applied science
  • large-scale systems
  • customer satisfaction