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Machine Learning Engineer, Prime Video Ads CX

Amazon.com Inc
  • Seattle, WA
    16 days ago

    Job Description

    Are you interested in shaping the future of movies and television, and being part of a team that is helping Amazon redefine the future of video advertising? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. Video Advertising is rapidly evolving as customers shift their viewing experiences from traditional linear TV to streaming via connected devices, and Prime Video is a rising player in this space.

    PV Ads CX team owns personalizing Ads experience for a customer on Prime Video. We work on balancing customer satisfaction and engagement with monetization objectives by applying machine learning based solutions to customize the Ads experience. We work with millions of customer"s data to understand customer behavior, business need, and formulate ML based solution to delight our customers.

    Successful candidates have a solid background in machine learning. They have experience working on big data, and neural network models. They have experience owning and maintaining highly-available, mission-critical systems. Experience in Advertising domain is a plus. You will need to have strong problem-solving and technical abilities, great communication skills, a motivation to learn, and achieve results in a fast-paced environment with excellent analytical reasoning skills.

    Key job responsibilities

    As a MLE-II on the team, you will be responsible for:

    • Collaborating closely with Scientists to develop ML based solutions for Ads Customer Experience on Prime Video.
    • Building solutions to process massive data, scale machine learning models, while defining and optimizing criteria critical to the success of the customer experience
    • Driving cross-team initiatives and leading a team of developers on key initiatives.
    • Mentoring engineers on the team.

    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

    • Advertisingunmatched
    • Analysis Skillsunmatched
    • Communication Skillsunmatched
    • Customer Experienceunmatched
    • Customer Satisfactionunmatched
    • Customer/Consumer Behaviorunmatched
    • Data Processingunmatched
    • Filmunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Problem Solving Skillsunmatched
    • Team Lead/Managerunmatched
    • Television Broadcastingunmatched

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