Software Development Engineer, Creator Marketplace

Amazon Amazon · Big Tech · Culver City, CA · Software Development

Software Development Engineer role focused on building and maintaining a platform for audio content creation and distribution, with a requirement for experience in Machine Learning and Large Language Model fundamentals.

What you'd actually do

  1. Design, develop, and test software components and applications for one of the largest creator and provider of audiobooks in the world
  2. Collaborate with stakeholders to imagine, design, develop, test, and launch software that impacts our customers and inspires your peers
  3. Be proficient in a broad range of data structures and algorithms, knowing when it is (and isn’t) appropriate to use them
  4. Independently clarify technical requirements, assessing development estimates and apply a broad range of design approaches
  5. Review code of other team members and provide constructive direction
  6. Mentor and lead developers by cultivating curiosity and deep technical understanding

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
  • Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience building complex software systems that have been successfully delivered to customers

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
  • Bachelor's degree in computer science or equivalent
  • Experience handling ambiguous or undefined challenges through strong problem solving abilities
  • Experience building complex software systems that have been successfully delivered to

What the JD emphasized

  • Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

Other signals

  • building innovative tools to automate the entire content production pipeline
  • leverage your technical expertise and make a significant impact
  • Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution