Software Dev Engineer, Amazon Brand Store, Amazon Brand Stores

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

Software Development Engineer role focused on building new personalization and optimization capabilities for Amazon's Brand Stores using generative AI and machine learning. The role involves partnering with product, design, and science teams to create customer-facing products that enhance the shopping experience and connect brands with shoppers.

What you'd actually do

  1. partner with product, design and science in building these new personalization and optimization capabilities
  2. building capabilities that enable brands to personalize their shopping experiences for different customer segments and optimize those experiences using machine learning
  3. launching a platform where brands can define their own shopper segments—based on how customers arrive, their relationship with the brand, or their shopping behavior—and tailor content for each segment using natural language configuration
  4. building intelligent optimization that automatically tests different content variations, learns what drives the best results for each segment, and continuously adapts as shopper behavior changes
  5. deliver analytics that show brands how each segment performs, enabling data-driven decisions about their marketing strategies

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
  • Experience with natural language processing and generative model architectures
  • Background in advertising technology or e-commerce platforms

What the JD emphasized

  • re-imagining the advertising landscape through industry leading generative AI technologies
  • revolutionizing how millions of customers discover products and engage with brands
  • re-inventing advertising experiences, bridging human creativity with artificial intelligence
  • responsible and intelligent AI technologies
  • shaping the future of advertising
  • building these new personalization and optimization capabilities
  • strategic importance of this program for Advertising and Amazon overall
  • high visibility at senior leadership level
  • early stage of the product
  • high bar on customer obsession, bias for action, dive deep, insisting on highest standards, and earning trust
  • highly strategic, and visible across Amazon's senior leadership
  • strong understanding of, and desire to deeply learn customer needs
  • experience building consumer facing products
  • technical depth to navigate distributed systems and machine learning applications
  • self-motivated, highly goal-oriented, comfortable with ambiguity, and with a track record of delivering solid results
  • excited about the use of GenAI in helping deliver fast and use GenAI themselves in their day to day work
  • building personalized brand experiences that will fundamentally change the way brands connect with shoppers on Amazon

Other signals

  • generative AI technologies
  • personalize their shopping experiences
  • optimize those experiences using machine learning
  • intelligent optimization that automatically tests different content variations
  • use GenAI themselves in their day to day work