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Principal Applied Scientist, Prime Video Personalization & Discovery , PV Personalization & Discovery, Principal Applied Scientist, PVPD

Amazon.com Inc
  • Seattle, WA
    5 days ago

    Job Description

    As a Principal Applied Scientist at Prime Video, you will be a technical and strategic leader responsible for inventing, developing, and deploying groundbreaking AI solutions that power personalized, relevant, and delightful experiences for millions of global customers. You will help shape the vision and direction of key ML systems that support Prime Video's mission to deliver AI-powered customer experiences.

    This role demands a unique blend of deep technical expertise in machine learning and recommendation systems, industry leadership, and strong collaboration skills. You will guide the development of high-impact systems end-to-end - leading innovation from foundational research through production deployment - while mentoring scientists and influencing product and engineering roadmaps.

    We are looking for a thought leader who brings a strong track record of delivering ML innovations at scale, along with the curiosity and drive to push boundaries. This is a rare opportunity to drive meaningful impact at one of the largest streaming services in the world.

    Key job responsibilities

    • Invent, prototype, and productionize large-scale AI solutions across Prime Video's personalization and discovery ecosystem using deep learning, generative AI, reinforcement learning, and optimization techniques;
    • Provide technical leadership and influence product vision by collaborating closely with engineers, product managers, and senior stakeholders;
    • Design and lead high-impact A/B tests and data analyses to validate hypotheses and guide product direction;
    • Drive technical bar-raising across science and engineering teams through mentorship, design reviews, and collaboration;
    • Stay ahead of industry trends and emerging research; leverage them to evolve long-term strategy and architecture;
    • Publish impactful research internally and externally (e.g. top-tier conferences and journals).

    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

    • A/B Testingunmatched
    • Artificial Intelligence (AI)unmatched
    • Customer Experienceunmatched
    • Data Analysisunmatched
    • Deep Learningunmatched
    • Ecosystemsunmatched
    • Industry/Trade Analysisunmatched
    • Leadershipunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Product Documentationunmatched
    • Product Engineeringunmatched
    • Product Planningunmatched
    • Prototypingunmatched
    • Reinforcement Learningunmatched
    • Team Playerunmatched
    • Technical Leadershipunmatched
    • Technical Strategyunmatched
    • Thought Leadershipunmatched
    • Trend Analysisunmatched
    • User Documentationunmatched

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