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Senior Applied Scientist, Funnel Agentic Intel

Amazon.com Inc

  • Seattle, WA
  • 30+ days ago
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    Skills

    • Advertisingunmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Programming Languagesunmatched
    • Benchmarkingunmatched
    • Campaignsunmatched
    • Data Analysisunmatched
    • Ecosystemsunmatched
    • Intel Product Familyunmatched
    • Modeling Languagesunmatched
    • Query Analysisunmatched
    • SQL (Structured Query Language)unmatched
    • Software Agentsunmatched
    • Team Buildingunmatched
    • User Experience Design (UXD)unmatched

    Description

    Amazon Ads is building Ads Agent, an AI-powered agent that understands advertiser intent, reasons over campaign strategy, and executes across the full Amazon Ads portfolio. If you want to work at the frontier of agentic AI and large language models while directly impacting a multi-billion dollar business, this is your team.

    We are seeking an experienced Applied Scientist passionate about building intelligent agents that reason, plan, and act across complex advertising workflows.

    Ads Agent is an AI agent that simplifies how advertisers plan, launch, and optimize campaigns. Powered by AI, Ads Agent works alongside advertisers to automate time-consuming tasks, like identifying targeting segments, adjusting pacing across hundreds of campaigns, and generating SQL queries for advanced analytics. It also provides data-driven recommendations and simplifies analysis-all while providing transparency and control. With a broad mandate to experiment and innovate, we need applied scientists to define and build the future of advertising.

    Key job responsibilities

    • Design, build, and evaluate agentic systems that plan multi-step workflows, invoke tools, and take autonomous actions across Amazon Ads products on behalf of advertisers.
    • Define evaluation frameworks and benchmarks for agent reliability, correctness, safety, and advertiser satisfaction.
    • Analyze agent behavior through deep data analysis and rigorous A/B experimentation to identify failure modes, measure effectiveness, and derive business insights.
    • Partner with engineers, product managers, and UX designers to ship end-to-end agent experiences that are scalable, efficient, and reliable at Amazon scale.

    About the team

    We are a small, fast-moving team building a unified AI-native interface to all of Amazon Advertising. We sit at the intersection of large language models, agentic AI, and one of the world"s most complex advertising ecosystems. If you want to shape how millions of advertisers interact with Amazon Ads, come build with us.

    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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