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Software Development Engineer, Sponsored Products and Brands

Amazon.com Inc
  • Seattle, WA
    16 days ago

    Job Description

    Redefine how ads become a personalized, inspiring part of the customer journey - applying Generative AI and Large Language Models to transform advertising experiences across Amazon"s shopping surfaces at massive scale. This is a rare opportunity to shape the next chapter of advertising engineering on one of the highest-impact teams in Amazon Ads.

    The Off-Search team within Sponsored Products and Brands (SPB) builds delightful ad experiences across surfaces beyond Search - product detail pages, the homepage, and store-in-store pages. We deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, and integrates seamlessly with organic recommendations. We operate full stack - from backend ads-retail edge services, ad retrieval, and ad auctions to shopper-facing experiences - all designed to deliver meaningful value. You"ll build hyper-scale online systems, offline data pipelines, and ML infrastructure to transform core areas like ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations.

    Key job responsibilities

    • Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences across Amazon surfaces
    • Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising
    • Build and optimize data pipelines and services that improve ad retrieval, allocation, whole-page relevance, and differentiated recommendations
    • Design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers
    • Collaborate with applied scientists, product managers, and engineers to define and deliver customer-focused solutions end to end
    • Write high-quality, maintainable code and participate in design and code reviews
    • Drive operational excellence through monitoring, automation, and continuous improvement

    A day in the life

    You"ll help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure - leveraging GenAI and LLMs to transform how ads are retrieved, allocated, and experienced. You"ll have the opportunity to redesign how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront.

    About the team

    The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you"re energized by solving complex challenges and pushing the boundaries of what"s possible with AI, join us in shaping the future of advertising.

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

    Skills

    • Advertisingunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Programming Languagesunmatched
    • Automationunmatched
    • Code Reviewsunmatched
    • Continuous Improvementunmatched
    • Customer Relationsunmatched
    • Customer/Client Researchunmatched
    • Data Managementunmatched
    • Distributed Computingunmatched
    • Large-Scale Systemsunmatched
    • Machine Learningunmatched
    • Modeling Languagesunmatched
    • Performance Analysisunmatched
    • Product Engineeringunmatched
    • Retailunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched

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