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Sr. Software Engineer - ML and Distributed Systems, Amazon Personalize

Amazon.com Inc

  • Mountain View, CA
  • 10 days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Artificial Intelligence (AI)unmatched
    • Business Solutionsunmatched
    • Cloud Computingunmatched
    • Computer Systemsunmatched
    • Deep Learningunmatched
    • Distributed Computingunmatched
    • Emerging Technologyunmatched
    • Large-Scale Systemsunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Requirements Managementunmatched
    • Salesunmatched
    • Software Engineeringunmatched
    • Startupunmatched
    • Systems Scalabilityunmatched

    Description

    As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

    Amazon Personalize is a deep learning AWS Service that makes it easy for developers to create individualized recommendations for customers. We"re building a large-scale machine learning platform and are looking for senior engineers to architect and develop the platform.

    If you have prior experience in building & scaling large scale systems, ML pipelines, and enjoy extracting maximum performance at every layer of the stack, we should talk.

    You"ll collaborate with product managers, scientists and other engineers to rapidly deliver production ready solutions that have a broad business impact. This is a unique opportunity to join a fast-growing startup within AWS AI, where you"ll be working on latest technology, influence and shape the technology, product and business.

    Key job responsibilities

    • Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
    • Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
    • Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
    • Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
    • Design and code the right solutions starting with broadly defined problems.
    • Work in an agile environment to deliver high-quality software.

    A day in the life

    The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years.

    About the team

    ABOUT AWS:

    Diverse Experiences

    Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

    Why AWS

    Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Work/Life Balance

    We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

    Inclusive Team Culture

    Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

    Mentorship and Career Growth

    We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

    Numbers & Facts

    LocationMountain View, CA
    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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