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Software Dev Engineer, Applied AI

Amazon.com Inc
  • Bellevue, WA
    29 days ago

    Job Description

    We are seeking a passionate, talented, and inventive individual to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contribute to the design, architecture, and implementation of a cutting-edge product. The mission of the Applied AI team is to enable organizations within Worldwide Amazon.com Stores to accelerate the adoption of AI technologies across various parts of our business.

    We are looking for a Software Development Engineer II (SDEII) to join our Applied AI team to work on LLM-based solutions. You will be responsible for developing and maintaining the systems and tools that enable us to accelerate knowledge operations and work in the intersection of Science and Engineering. You will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team.

    We are seeking someone who is to learn, and be ready to use a wide range of software and development tools required to perform the job in Python, Java, container-based development, SageMaker, PyTorch, PyTorch Lightning, Langchain, etc.

    Your work should consistently be of high quality (e.g., secure, testable, maintainable, low-defects, efficient, etc.) and incorporate best practices. You should identify, follow, and enforce high development standards, working alongside Sr. SDEs.

    As an SDEII, You should be able to work fairly independently using the above-mentioned tools, while also working with various stakeholders and partners, such as Applied Scientists, Product Managers, Technical Program Managers, Software Development Managers, Solution Architects, and Doc writers. You should be able to integrate new software components into partner codebases, while understanding and incorporating all required concerns, including roadblocks. You should understand distributed system design patterns and be able to apply them in existing and emerging ML domains with limited guidance from Sr. SDEs.

    You should help the team evolve by actively participating in the code review process, design discussions, and team planning. As such, you should participate in all projects in the functional area by helping to review designs, contributing to code reviews, and helping to remove blockers. This is an opportunity to play a key role in transforming how a large ecommerce organization continues to grow. Apply now and be part of our journey towards revolutionizing the way businesses operate with AI.

    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

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