Senior Software Engineer, Prime Video Personalization and Discovery

Amazon Amazon · Big Tech · NY +1 · Project/Program/Product Management--Technical

Senior Software Engineer role focused on leading the technical strategy, architecture, and implementation of AI-powered recommendation systems and personalization services for Prime Video. The role involves building distributed systems for high-volume, low-latency AI experiences, developing tooling for operational excellence, and collaborating with applied scientists and product managers.

What you'd actually do

  1. Design, develop and maintain AI based recommendation systems services that drive personalized experiences across Prime Video
  2. Build distributed systems to manage high-volume, low-latency AI powered customers experiences
  3. Develop tooling and automation to improve the efficiency, visibility, and reliability of recommendation systems.
  4. Collaborate cross-functionally with applied scientists, product management, and other software development teams to continuously enhance the Prime Video discovery and personalization experiences experience
  5. Confidently train new team-mates about your customers, what your team’s software does, how it is constructed, tested, operates, and how it fits into the bigger picture.

Skills

Required

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team

Nice to have

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

What the JD emphasized

  • AI-powered content discovery initiatives
  • AI based recommendation systems services
  • AI powered customers experiences
  • Machine Learning and experiments

Other signals

  • AI-powered content discovery initiatives
  • AI based recommendation systems services
  • AI powered customers experiences
  • Machine Learning and experiments to help surfacing the right content