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Sr Manager, Applied Science, Search

Amazon.com Inc
  • Seattle, WA
    5 days ago

    Job Description

    Search"s mission is to connect customers worldwide to Amazon"s vast selection, helping them quickly evaluate their options and find what they need while also inspiring exploration and discovery. We are working on delivering a search results page that understands the full spectrum of customer intent, from open-ended discovery to spearfishing, and assembles itself accordingly with every part of the page reflecting the customer"s specific context, query, intent, preferences and real-time browsing signals adapting as their mission evolves. We are looking for a Senior Applied Science Manager to lead the development of leading AI/ML solutions that power intelligent, adaptive search experiences for hundreds of millions of customers worldwide. This is a rare opportunity to shape the science strategy for one of Amazon"s most impactful programs at the intersection of massive-scale behavioral data, real-time decision systems, and generative AI. You will lead cross-functional teams of scientists, engineers, and product managers to integrate LLMs into existing search systems while delivering low-latency solutions that serve billions of daily interactions.

    Key job responsibilities

    A Sr. Manager, Applied Science in this role develops a comprehensive science strategy that brings deep expertise in page optimization and faceout optimization to drive adaptive search experiences, working with Principal Scientists to innovate on LLM integration and real-time personalization. You translate this strategy into measurable business impact by leading cross-functional teams through experimentation, ensuring every component of the search results page reflects customer intent and context while maintaining strict latency requirements.

    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

    • Artificial Intelligence (AI)unmatched
    • Cross-Functionalunmatched
    • Options Analysisunmatched
    • Semantic Searchunmatched
    • Team Lead/Managerunmatched

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