Software Development Engineer Ii, Project Dawn

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Software Development Engineer II role focused on building and owning end-to-end generative AI-powered systems for Amazon's customer-facing shopping experiences, including offer extraction, product enrichment, and AI-powered selection tools. The role involves designing, developing, and maintaining services leveraging LLMs and deep learning models at internet scale, collaborating with scientists, and leading technical strategy for data enrichment, model optimization, and evaluation.

What you'd actually do

  1. Design, develop, and maintain services that leverage large language models and generative AI to power intelligent shopping experiences at scale.
  2. Build and own distributed software components powering end to end production selection processing pipelines, from ingestion of the world's product catalog through to making offers available for customers.
  3. Develop deep understanding of Amazon's catalog systems that power the shopping experience, and influence their evolution to support next generation selection and offer processing.
  4. Collaborate with applied scientists to process massive datasets, scale ML models, and define evaluation criteria that drive customer experience quality.
  5. Lead tech strategy by defining data enrichment pipelines, model optimization frameworks, and evaluation methodologies. Own system architecture decisions that enable reliable, scalable infrastructure.

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
  • Bachelor's degree in computer science or equivalent

What the JD emphasized

  • end to end design and delivery of systems that leverage state of the art deep learning and generative models
  • operate at internet scale
  • shipping high impact, customer facing products

Other signals

  • generative AI
  • large language models
  • customer facing shopping experiences
  • internet scale