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Applied Scientist, Health & Wellness (Health Tech)

Amazon.com Inc
  • Seattle, WA
    30+ days ago

    Job Description

    This is a unique opportunity to join a small, high-impact team working on AI agents for health initiatives, with a particular focus on language modeling and recommendation systems. You will collaborate with experts across domains to develop state-of-the-art AI solutions. You"ll have the chance to work on projects that could significantly impact how individuals manage their daily health and long-term wellness goals.

    If you"re passionate about solving meaningful problems in healthcare through AI, this role is for you. Technically, you"ll work on large-scale data processing, algorithm development, and AI agent implementation. You"ll have the chance to learn and innovate alongside healthcare experts.

    In this early-stage initiative, you"ll have significant influence on what we build and how we build it. This is an excellent opportunity for high-judgment scientists to demonstrate impact and make key decisions.

    Key job responsibilities

    Architect and implement AI agent systems for health applications. Drive rapid prototyping and deployment of innovative AI solutions into production. Deliver end-to-end AI solutions, from data pipelines to user interfaces. Spearhead best practices in AI engineering, including testing and continuous improvement.

    A day in the life

    You"ll work with a cross-disciplinary team to plan and deliver AI-driven health and wellness experiences. You"ll shape product features, user experience, and team processes for rapid iteration. Expect to challenge conventional approaches and dive deep into customer problems in this evolving field.

    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

    • Algorithmsunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Best Practicesunmatched
    • Continuous Improvementunmatched
    • Data Managementunmatched
    • Data Processingunmatched
    • Health Scienceunmatched
    • Healthcareunmatched
    • Leading Edge Technologyunmatched
    • Modeling Languagesunmatched
    • Problem Solving Skillsunmatched
    • Rapid Prototypingunmatched
    • Testingunmatched
    • User Interface/Experience (UI/UX)unmatched

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