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Senior Applied Scientist , AGI

Amazon.com Inc
  • Boston, MA
    8 days ago

    Job Description

    Amazon"s Artificial General Intelligence (AGI) organization is seeking a talented Applied Scientist to help build the next generation of large language models and conversational AI experiences. In this role, you will design, develop, and evaluate state-of-the-art machine learning models that power products used by hundreds of millions of customers worldwide. You will work with large-scale datasets, modern deep learning frameworks, and world-class scientists and engineers to take ideas from research prototype to production. This is a hands-on scientist role that combines rigorous applied research with the engineering excellence required to ship reliable, responsible AI at Amazon scale.

    Key job responsibilities

    • Design, implement, and evaluate machine learning and deep learning models to solve challenging problems in natural language understanding, generation, and conversational AI.
    • Develop scalable training and evaluation pipelines for large language models using large, real-world datasets.
    • Collaborate with scientists, engineers, and product teams to translate research advances into production systems that improve customer experiences.
    • Conduct rigorous experimentation, analyze results, and iterate rapidly to improve model quality, efficiency, and safety.
    • Stay current with the latest research, contribute novel ideas, and help raise the scientific bar of the team.
    • Champion responsible AI practices, including evaluation for fairness, robustness, and safety.

    About the team

    The AGI organization at Amazon is dedicated to advancing the science and engineering of large language models and generative AI. Our teams build foundation models and the systems around them, spanning pretraining, post-training, evaluation, and responsible AI. We are a collaborative group of scientists and engineers who value scientific rigor, customer obsession, and rapid iteration, and we work on some of the most impactful AI problems at Amazon scale.

    Numbers & Facts

    LocationBoston, MA
    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

    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Customer Experienceunmatched
    • Data Setsunmatched
    • Deep Learningunmatched
    • Machine Learningunmatched
    • Modeling Languagesunmatched
    • Problem Solving Skillsunmatched
    • Production Systemsunmatched
    • Prototypingunmatched
    • Quality Managementunmatched
    • Safety/Work Safetyunmatched
    • Scalable System Developmentunmatched
    • Team Playerunmatched
    • Training Data Setsunmatched

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