Amazon.com Inc logo

Software Development Engineer , Adaptive Search Relevance

Amazon.com Inc

  • Seattle, WA
  • 22 days ago
    Want to know if you’re a fit?
    Upload your resume and let our AI show you.

    Skills

    • Advertisingunmatched
    • Architectural Servicesunmatched
    • Artificial Intelligence (AI)unmatched
    • Computer Testingunmatched
    • Cost Controlunmatched
    • Customer/Client Researchunmatched
    • Data Managementunmatched
    • Experiment Designunmatched
    • GPU (Graphics Processing Unit)unmatched
    • Performance Analysisunmatched
    • Security Complianceunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Technical Leadershipunmatched
    • Training Data Setsunmatched
    • User Interface/Experience (UI/UX)unmatched

    Description

    Build the multi-agent orchestration platform that autonomously executes ML research workflows - from hypothesis generation through production deployment - accelerating how we deliver relevant sponsored products to hundreds of millions of Amazon shoppers. You"ll work at the intersection of Generative AI, large-scale ML infrastructure, and search relevance at massive scale.

    The Sponsored Products Search Relevance (SPSR) team helps shoppers easily find and discover the most relevant sponsored products while improving advertisers" ability to reach the right shoppers in the right context. We develop capabilities to understand shopper queries, shopping missions, and product attributes to identify contextually relevant ASINs - and we make CX/UX improvements so shoppers can perceive why products are relevant and efficiently navigate Amazon"s vast selection. This is AI-first engineering: you"ll build the systems that dramatically increase scientist throughput and ship relevance improvements to production at scale.

    Key job responsibilities

    • Build and scale a multi-agent orchestration platform that autonomously executes research workflows - from hypothesis generation and experiment design through training, evaluation, and production deployment - with fault tolerance, cost controls, and security compliance
    • Develop AI-first Auto Research systems that parallelize hypothesis testing across compute, incorporating tournament-based proposal filtering and human-in-the-loop review to dramatically increase scientist throughput
    • Own platform reliability and developer experience, including multi-tenant GPU scheduling, observability, eval frameworks, and knowledge services - ensuring agents and scientists operate on a stable, extensible foundation
    • Productionize LLM/VLM models with a focus on efficiency, throughput, and low-latency serving
    • Collaborate with scientists and engineers to design and build data pipelines for processing massive datasets and scaling ML and LLMs
    • Provide architectural guidance and technical leadership to ensure solutions deliver measurable improvements in customer-perceived relevance

    About the team

    The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through 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

    Similar Jobs

    See more jobs