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Applied Scientist, SPX AI Lab

Amazon.com Inc

  • Seattle, WA
  • 30+ days ago
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    Skills

    • Artificial Intelligence (AI)unmatched
    • Benchmarkingunmatched
    • Customer/Client Researchunmatched
    • Data Analysisunmatched
    • Data Modelingunmatched
    • International Salesunmatched
    • Machine Learningunmatched
    • Model Validationunmatched
    • Partner Salesunmatched
    • Problem Solving Skillsunmatched
    • Product Shipmentsunmatched
    • Revenue Growthunmatched
    • SPXunmatched
    • Salesunmatched
    • Software Engineeringunmatched
    • Startupunmatched

    Description

    Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow.

    Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide. We are seeking a world-class Applied Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazons scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on.

    Key job responsibilities: • Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazons Selling Partners to succeed. • Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions. • Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features. • Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation. • Research and implement novel machine learning and statistical approaches. • Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.

    About the team

    Amazon Seller Assistant team operates at the very frontier of agentic AI and agentic commerce - not as a research group, but as a team shipping production-grade, multi-agent systems used by millions of sellers worldwide. We move with the urgency of a startup and the resources of the worlds most customer-obsessed company, transforming the latest breakthroughs in science and engineering into capabilities that sellers rely on every day.

    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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