Amazon.com Inc logo

Software Development Engineer

Amazon.com Inc
  • Seattle, WA
    5 days ago

    Job Description

    Build state-of-the-art machine learning models and infrastructure that deliver relevant, personalized ad experiences across non-Search surfaces on Amazon.com - incorporating deep product and shopper understanding to identify the most useful advertisements for hundreds of millions of customers. You"ll drive major product and engineering initiatives with direct, measurable customer impact.

    The Off-Search Sourcing and Relevance team within Sponsored Products develops ML models, large-scale data pipelines, and low-latency ad serving systems that power discovery beyond Search - on product detail pages, the homepage, and more. We conduct rapid A/B experimentation to ensure we surface the most relevant ads to downstream systems for click-through prediction and auction. You"ll work with Product Managers and Scientists to solve complex problems at Amazon scale - building ML infrastructure, designing distributed systems, and launching solutions in one of Amazon"s fastest growing and most profitable businesses.

    Key job responsibilities

    • Design, build, and operate ML infrastructure and data processing pipelines that power ad relevance and sourcing at massive scale
    • Develop and optimize machine learning models incorporating deep product and shopper understanding to identify relevant advertisements across non-Search surfaces
    • Architect and build ad serving systems that solve real-world customer use cases with high volume, low latency, and strict availability requirements
    • Integrate ML solutions with large-scale distributed systems for click-through prediction and ad auction
    • Measure impact and customer response through rapid A/B experimentation, iterating to improve relevance and performance
    • Collaborate with Product Managers and Scientists to translate complex business problems into scalable ML-driven solutions

    About the team

    The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you"re energized by solving complex challenges and pushing the boundaries of what"s possible with AI, join us in shaping the future of advertising.

    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

    • Ad Servingunmatched
    • Advertisingunmatched
    • Artificial Intelligence (AI)unmatched
    • Customer Responseunmatched
    • Customer/Client Researchunmatched
    • Data Managementunmatched
    • Data Processingunmatched
    • Distributed Computingunmatched
    • Large-Scale Systemsunmatched
    • Machine Learningunmatched
    • Performance Analysisunmatched
    • Performance Managementunmatched
    • Problem Solving Skillsunmatched
    • Product Engineeringunmatched
    • Product Programsunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Use Casesunmatched

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