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Software Development Engineer, Alexa Sensitive Content Intelligence (ASCI)

Amazon.com Inc
  • Bellevue, WA
    8 days ago

    Job Description

    The Alexa Sensitive Content Intelligence (ASCI) team leverages natural language understanding (NLU), machine learning (ML), and big data to help Alexa identify and handle sensitive content - ensuring customers continue to have fun, engaging conversations with Alexa. We work at the intersection of trust, safety, and intelligence, applying state of the art Artificial Intelligence (AI) technologies including large language models (LLMs), multimodal AI, and agentic AI systems to solve some of the most complex content moderation challenges in the industry. We are a highly collaborative, fast-moving team that values technical excellence, innovation, and impact.

    We seek a Software Development Engineer (SDE) II who is highly motivated, owns outcomes end-to-end, and thrives in a fast-paced, collaborative environment that adopts AI and leverages various AI tools for quick problem solving. Our ideal candidate brings a strong sense of ownership, clear written and verbal communication skills, and the ability to adapt quickly to new technologies - including agentic AI systems, LLMs, and LLM-based tools. You will lead the development and launch of new features that adopt agentic AI at scale, drive system architecture, influence team strategy, mentor engineers, and establish best practices that deliver a high-quality product. You bring a solid understanding of software design principles, a demonstrated track record of delivering new features and products to production, and a genuine passion for innovating on behalf of customers. You ramp quickly, raise the bar for the engineers around you, and bring direct, hands-on experience with agentic AI and LLM frameworks to solve production-grade challenges. You will own features end-to-end - from requirements to production - working directly with applied scientists, product managers, and senior engineers to protect and delight Alexa customers globally.

    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

    • Amazon Alexaunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Big Dataunmatched
    • Communication Skillsunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Modeling Languagesunmatched
    • Presentation/Verbal Skillsunmatched
    • Problem Solving Skillsunmatched
    • Software Designunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • System Architectureunmatched
    • Team Playerunmatched
    • Writing Skillsunmatched

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