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Software Development Engineer, PXTCS (People Experience and Technology Central Science)

Amazon.com Inc
  • Bellevue, WA
    8 days ago

    Job Description

    Amazon"s People Experience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements that simultaneously improve Amazon and the lives, well-being, and value of work for Amazonians. PXTCS is an interdisciplinary team that combines the talents of science, engineering, and UX to build and deliver solutions that measurably achieve this goal - at a scale that touches over 1.5 million Amazonians worldwide.

    As a Software Development Engineer on PXTCS, you"ll work side by side with economists, data scientists, data engineers, and applied scientists turning leading-edge ML and Generative AI models into reliable, scalable production systems.

    This is a rare chance to see your code directly shape how Amazon supports its workforce, spanning areas like benefits, compensation, recruiting, voice of employee, management practices, and organizational culture. We offer opportunities for builders to build and make history!

    About the team

    PXTCS combines economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements that improve both Amazon"s operations and the experience of every Amazonian. Its engineering teams take science-driven insights and models - spanning areas like benefits, compensation, recruiting, voice of employee, management practices, and organizational culture - and turn them into production systems operating at Amazon"s scale. PXTCS is an interdisciplinary group where engineering, applied science, and product work side-by-side, and where this team"s output directly shapes how Amazon supports its workforce.

    Numbers & Facts

    LocationBellevue, 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

    • Artificial Intelligence (AI)unmatched
    • Compensation and Benefitsunmatched
    • Data Scienceunmatched
    • Economicsunmatched
    • Machine Learningunmatched
    • Organizational Cultureunmatched
    • People Managementunmatched
    • Process Improvementunmatched
    • Production Systemsunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Statisticsunmatched
    • System Operationsunmatched
    • Systems Scalabilityunmatched
    • User Interface/Experience (UI/UX)unmatched

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