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Applied Scientist, Support Agent Intelligence and Evaluation

Amazon.com Inc

  • Seattle, WA
  • 10 days ago
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    Skills

    • Advertisingunmatched
    • Artificial Intelligence (AI)unmatched
    • Business Growthunmatched
    • Calibrationunmatched
    • Campaignsunmatched
    • Cross-Functionalunmatched
    • English Languageunmatched
    • Green Businessunmatched
    • Intelligence Agenciesunmatched
    • Metricsunmatched
    • Multilingualunmatched
    • Power Generationunmatched
    • Problem Solving Skillsunmatched
    • Product Engineeringunmatched
    • Quality Managementunmatched
    • Retailunmatched
    • Revenue Growthunmatched
    • Salesunmatched
    • Service Level Agreement (SLA)unmatched

    Description

    Amazon Advertising is one of Amazon"s fastest growing and most profitable businesses. Amazon"s advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers.

    Millions of advertisers rely on Amazon"s self-service support experience to resolve issues, unblock campaigns, and grow their business. Our Support Agents team is building the science behind intelligent, conversational support - systems that understand advertiser intent, retrieve the right knowledge, generate accurate answers, and know when to escalate. We serve ~2M monthly active advertisers across dozens of locales and languages, and every percentage point of improvement in resolution quality translates directly into advertiser success and retention.

    We are seeking an Applied Scientist to help enhance and scale our support agent capabilities. You will build and improve models that power advertiser-facing interactions, contribute to our evaluation framework, and work alongside senior scientists and engineers to ship science into production.

    A day in the life

    1. Enhance support agent capabilities across the broad suite of Amazon Advertising products - expanding coverage, depth of resolution, and advertiser task completion across Sponsored Products, Sponsored Brands, DSP, AMC, and more

    2. Design and own the evaluation framework for agent quality - including automated LLM-based scoring of answer correctness, confidence calibration, and conversation-level resolution signals

    3. Develop novel metrics that capture whether advertisers actually got the help they needed (beyond surface-level deflection rates)

    4. Build and improve retrieval and generation models that power real-time advertiser interactions under strict latency SLAs

    5. Drive multilingual science - improve non-English resolution rates through cross-lingual retrieval, translation quality modeling, and locale-aware evaluation

    6. Partner with product, engineering, and business teams to productize research and inform roadmap decisions with data

    About the team

    This role sits within Amazon Advertising"s broader Agentic Intelligence organization - a community of multiple Applied Science and Engineering teams building the next generation of AI-powered experiences for advertisers. You"ll have access to Principal Engineers and Principal Applied Scientists to pressure-test ideas and elevate your work. The team is cross-functional - scientists and engineers work shoulder-to-shoulder, from problem framing through production deployment.

    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

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