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2027 Applied Science Internship - Robotics - United States

Amazon.com Inc
  • North Reading, MA
    10 days ago

    Job Description

    Robotics Applied Scientist II Intern/Co-op (2027)

    Are you passionate about robotics and research? Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable research and projects in a collaborative team environment? Do you want to see your science solutions directly impact millions of customers worldwide?

    We're looking for current PhD students with a passion for robotic research and applications to join us in 2027 as Robotics Applied Scientist II Interns/Co-ops to shape the future of robotics and transform automation at Amazon's scale.

    By applying to this role, you will be considered for Robotics Applied Scientist II Intern/Co-op (2027) opportunities across various Robotics teams at Amazon with different robotics research focus. Internship positions are available for multiple locations, durations (3 to 6+ months), and year-round start dates (winter, spring, summer, fall).

    Join us at the forefront of Applied Science, where your contributions will shape the future of Robotics!

    Key job responsibilities

    As a Robotics Applied Scientist II Intern/Co-op, you will work alongside global experts to advance the state of the art in robotics and artificial intelligence, tackling innovative problems that bridge the gap between research and real-world robotics implementation to innovate and build solutions on behalf of our customers.

    We are particularly interested in students with specialization and expertise in one or more of the following research areas:

    • Robotics
    • Artificial Intelligence
    • Robotics Manipulation (e.g., robot arm, grasping, dexterous manipulation, end of arm tools/end effector)
    • Autonomous Mobile Robots
    • Mobile Manipulation
    • Multi-Robot Coordination
    • Autonomous Navigation
    • Locomotion
    • Motion/Path Planning
    • Controls
    • Perception
    • Sensing
    • Robot Learning
    • Machine Learning
    • Computer Vision
    • Large Language Models (LLM), Vision-Language-Action Models (VLA), Vision-Language-Models (VLM)
    • World Models
    • Human-Robot Interaction
    • Robotics Simulation
    • Optimization
    • And related!

    Key responsibilities may include:

    • Develop novel, scalable algorithms and/or modeling techniques that advance the state-of-the-art in science areas such as robotics, artificial intelligence, or related
    • Tackle challenging, innovative research problems within robotics, artificial intelligence, or related that bridge the gap between theoretical advancement and practical robotics implementation
    • Collaborate with cross-functional teams to solve complex problems, and to communicate research findings clearly, leveraging your expertise in robotics, artificial intelligence, or related
    • Demonstrate the ability to work independently, thrive in a fast-paced, ever-changing environment
    • Leverage AI-powered tools where applicable to accelerate research, experimentation, and prototyping.
    • Critically review and validate outputs from AI tools and automated systems.

    About the team

    Explore Robotics Teams at Amazon

    At Amazon, robotics is where innovative research meets real-world deployment. There are many different specialized robotics teams, including the few highlighted below. Learn more about Robotics at Amazon here: https://www.amazon.science/research-areas/robotics

    Fulfillment Technologies and Robotics

    We build dynamic partnerships between people and intelligent machines. This intricate collaboration helps Amazon fulfill orders with unmatched accuracy. Working in symphony with our robotic technology, you'll have the opportunity to extend your technical capabilities by working alongside some of the industry's most advanced technologies. This includes our fleet of autonomous mobile robots, sophisticated control software, and technologies like language perception, machine learning, object recognition, and semantic understanding of commands. These technologies help us deliver an ever-improving customer and employee experience, as well as improve the safety of our facilities.

    Amazon Robotics

    Amazon Robotics is at the epicenter of robotics innovation. We design, test, and build mobile robots and mechatronic systems. Our offices, labs, test floors, and factories are close together, which means we can design the hardware, write the code, test, build, and watch it all come to life. Our areas of focus include advancements in autonomous mobility, AI, robotic management software, and much more.

    Fauna

    Fauna is focused on building capable, safe, and genuinely delightful robots for everyday life. Fauna's goal is simple: make robots people actually want to live and interact with everyday. Fauna develops tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products. Fauna's work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but overall experience.

    Amazon Fulfillment Technologies

    Amazon Fulfillment Technologies develops tech solutions that create network optimizations for all Amazon sites worldwide. We own network infrastructure and devices in all buildings and labor planning and scheduling technology for fulfillment centers in North America and Europe.

    Numbers & Facts

    LocationNorth Reading, 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

    • Algorithmsunmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Calendar Managementunmatched
    • Communication Skillsunmatched
    • Computer Visionunmatched
    • Control Systemsunmatched
    • Cross-Functionalunmatched
    • Hardware Designunmatched
    • Hardware Developmentunmatched
    • Hardware-Software Integrationunmatched
    • Human Interactionunmatched
    • Laboratory Testingunmatched
    • Machine Learningunmatched
    • Mechanical Designunmatched
    • Modeling Languagesunmatched
    • Network Administration/Managementunmatched
    • Order/Customer Fulfillmentunmatched
    • Problem Solving Skillsunmatched
    • Prototypingunmatched
    • Resolve Customer Issuesunmatched
    • Roboticsunmatched
    • Scalable System Developmentunmatched
    • Simulationunmatched
    • Team Playerunmatched
    • Technical Deliveryunmatched
    • Test Designunmatched
    • Testingunmatched
    • Vehicle Fleetsunmatched

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