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Software Development Engineer, Prime Science

Amazon.com Inc

  • Seattle, WA
  • 12 days ago
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    Skills

    • Algorithmsunmatched
    • Amazon Web Services (AWS)unmatched
    • Artificial Intelligence (AI)unmatched
    • Big Dataunmatched
    • Cross-Functionalunmatched
    • Customer Experienceunmatched
    • Customer Relationsunmatched
    • Data Processingunmatched
    • Distributed Applicationsunmatched
    • Distributed Computingunmatched
    • Econometric Modelingunmatched
    • Economicsunmatched
    • Electronic Medical Recordsunmatched
    • High Availabilityunmatched
    • Large-Scale Systemsunmatched
    • Marketingunmatched
    • Microservicesunmatched
    • Onboardingunmatched
    • Process Improvementunmatched
    • Product Developmentunmatched
    • Profit & Lossunmatched
    • Research & Development (R&D)unmatched
    • Scalable System Developmentunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Startupunmatched
    • System Operationsunmatched
    • Test Plan/Scheduleunmatched

    Description

    Amazon Prime's Science organization leads the Research & Development towards innovation for Amazon Prime. Amazon Prime is the backbone of Amazon's consumer business and aspires to be the world's most engaging, satisfying, and loved membership program, driving growth and profitability. The program serves over 200 million members across 25 countries and is key to Amazon's customer growth and engagement. Prime Science innovates in Artificial Intelligence (inc. Gen AI) and Economics, to develop algorithms and systems for automated marketing, personalization, targeting, and decisioning. Within the engineering group in Prime Science, we develop world class solutions to complex scientific and engineering problems at Amazon scale. You will work alongside world class scientists to build a suite of fully automated, scalable and robust products driven by the engineering systems you build.

    As an experienced engineer, you will collaborate with economists, applied scientists and developers across the company to develop, test and deploy services that implement a wide range of econometric and AI models. This requires the use of sophisticated distributed systems, application of advanced statistical techniques and the processing of big data. A successful candidate will have a passion for innovation, interest in advancing technology, and excitement about working with AI in a high-impact business domain.

    Key job responsibilities

    • Design and build science products that scale to 100"s of millions of customers
    • Work alongside a multi-disciplinary team to deliver with high quality on hard science problems
    • Interface with internal customers to build science products that solve their needs
    • Grow more junior engineers and be force multiplier
    • Identify operational challenges early in the system and drive operational excellence
    • Contribute to and lead the improvements in development processes

    A day in the life

    You will work to build out scalable AI/ML foundations for the WW Prime team, scaling science across key Prime marketing activities worldwide. You will develop highly available micro services that power real-time decisions for hundreds of millions of Prime customers - our UDS (Unified Decisioning Service) is a tier-1 service handling peak traffic during Prime Day and holiday events with single-digit millisecond latency requirements.

    You will build scalable offline systems for large-scale AI/ML training and inference workflows, including model scoring pipelines that process billions of customer-decisions pairs daily.

    You will work with AWS technologies on a daily basis including Bedrock, SageMaker, EMR, Glue, Step Functions, DynamoDB, ECS/Fargate, and CloudWatch. You"ll collaborate closely with applied scientists to productionize ML models and with partner teams across Acquisition, Retention, Onboarding, Benefits, and Prime CX to deliver customer-facing experiences at Amazon scale.

    About the team

    The Prime Science engineering team, under the Prime Science organization is working to working to deliver science products that impact 100"s of millions customers world wide. We advance the state of the art on science systems to unlock a delightful customer experience. This is a unique opportunity to work in a start up like mode in Amazon on new science.

    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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