Senior Sde, Prime Video Personalization & Discovery

Amazon Amazon · Big Tech · Sunnyvale, CA · Software Development

Senior Software Development Engineer for Prime Video's Machine Learning Platform team, focusing on recommendation systems and ML infrastructure. The role involves end-to-end ownership of product, user experience, design, and technology to deliver state-of-the-art entertainment experiences. Responsibilities include designing and building ML infrastructure, tackling complex problems, delivering scalable ML platform solutions, writing code, mentoring engineers, and influencing technical strategy.

What you'd actually do

  1. You will be a technical leader helping to design and build the ML infrastructure that power our vision.
  2. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient ML platform solutions from the ground up.
  3. You will not only write high-quality, maintainable code, but also mentor other engineers, influence our technical strategy, and drive engineering best practices across the team.
  4. As a Sr. SDE on the Prime Video Machine Learning Platform team, you will have deep subject matter expertise in the area of recommendation systems and ML infra.
  5. You will work with teams of scientists, product managers and engineers to translate business and functional requirements into concrete system deliverables.

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

  • ML infrastructure
  • recommendation systems
  • scalable ML solutions

Other signals

  • ML infrastructure
  • recommendation systems
  • personalization