Software Development Engineer, Personalization, Amazon Buy Again

Amazon Amazon · Big Tech · CA, BC +1 · Software Development

Software Development Engineer role focused on building next-generation shopping experiences using machine learning, big data, and LLMs for Amazon's Personalization organization. The role involves full-stack development from backend systems to user interfaces, with a focus on personalization and recommendation systems.

What you'd actually do

  1. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually, an exciting opportunity to build next-generation shopping experiences, Amazon’s tremendous computational resources, and our extensive e-Commerce experience.
  2. Are you passionate about working on disruptive ideas?
  3. Are you obsessed with finding and building the most innovative and customer-friendly user experiences?
  4. Have you built and launched new experiences that impact shoppers all around the world?
  5. This is a unique opportunity that combines the ability to build exciting, new user experiences for Amazon's customers, with the opportunity to work with Big Data, Machine Learning, and other advanced techniques such as LLMs to provide the best personalized experience for hundreds of millions of Amazon's customers.

Skills

Required

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language

Nice to have

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Master's degree in computer science or equivalent
  • Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
  • Experience building complex software systems that have been successfully delivered to customers

Other signals

  • recommendation systems
  • personalization
  • LLMs