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2026 Fall Research Science Internship - United States, PhD Student Science Recruiting

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

    Job Description

    Do you enjoy solving challenging problems and driving innovation in research? Do you want to develop scalable models and apply machine learning techniques to guide real-world decisions? We are looking for builders, innovators, and entrepreneurs who want to bring their ideas to reality and improve the lives of millions of customers.

    As a Research Science Intern, you will apply advanced statistical techniques and emerging AI/ML technologies to solve complex problems, implement prototypes, and work with massive datasets. You"ll find yourself at the forefront of innovation, shaping the future of Amazon"s products, services, and operations.

    Imagine waking up each morning, fueled by the excitement of solving intricate problems that have a direct impact on Amazon"s excellence. Your day might begin by collaborating with cross-functional teams, exchanging ideas and insights to develop innovative solutions. You"ll immerse yourself in a world of data, leveraging your expertise in areas such as optimization, machine learning, statistical modeling, and algorithmic research to uncover hidden patterns and drive meaningful impact.

    Throughout your journey, you"ll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research, and mentorship from industry leaders. This immersive experience will sharpen your technical skills and cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.

    Amazon has positions available for Research Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA, Arlington, VA

    Key job responsibilities

    • Conduct research activities including data collection, analysis, and interpretation under the guidance of senior researchers
    • Develop and test hypotheses using appropriate scientific methodologies and computational tools
    • Document findings, maintain detailed research records, and prepare reports summarizing results and insights
    • Collaborate with team members to troubleshoot challenges and refine experimental approaches
    • Participate in team meetings and present progress updates on assigned research projects

    A day in the life

    As a Research Science Intern, you"ll immerse yourself in hands-on scientific work, collaborating with our research team on projects that span data analysis, experimental design, and computational modeling. Your day might include conducting literature reviews, running simulations, analyzing datasets, and participating in team discussions where your insights contribute to ongoing research initiatives. You"ll have opportunities to present findings, learn from mentors, and develop practical skills in a supportive research environment that values curiosity and collaborative problem-solving.

    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

    • Artificial Intelligence (AI)unmatched
    • Communication Skillsunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Collectionunmatched
    • Data Setsunmatched
    • Entrepreneurshipunmatched
    • Experiment Designunmatched
    • Identify Issuesunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Problem Solving Skillsunmatched
    • Prototypingunmatched
    • Record Keepingunmatched
    • Reporting Skillsunmatched
    • Research Skillsunmatched
    • Scalable System Developmentunmatched
    • Scientific Researchunmatched
    • Statistical Algorithmsunmatched
    • Statistical Modelingunmatched
    • Team Playerunmatched
    • Test Plan/Scheduleunmatched
    • Training Data Setsunmatched

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