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Senior Applied Scientist

Amazon.com Inc

  • San Francisco, CA
  • 30+ days ago
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    Skills

    • Algorithmsunmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Computer Visionunmatched
    • Control Systemsunmatched
    • Cross-Functionalunmatched
    • Data Collectionunmatched
    • Data Modelingunmatched
    • Industrial Roboticsunmatched
    • Machine Learningunmatched
    • Mechanical Designunmatched
    • Mentoringunmatched
    • Metricsunmatched
    • Modeling Languagesunmatched
    • Patentsunmatched
    • Roboticsunmatched
    • Scene Understandingunmatched
    • Simulationunmatched
    • Software Engineeringunmatched
    • Vehicle Fleetsunmatched

    Description

    Amazon Industrial Robotics is on a mission to redefine the future of

    automation - and we"re looking for exceptional talent to help lead the way.

    We are building the next generation of advanced robotic systems that

    seamlessly blend cutting-edge AI, sophisticated control systems, and novel

    mechanical design to create adaptable, intelligent automation solutions

    capable of operating safely alongside humans in dynamic, real-world

    environments.

    At Amazon Industrial Robotics, we leverage the power of machine learning,

    artificial intelligence, and advanced robotics to solve some of the most

    complex operational challenges at a scale unlike anywhere else in the world.

    Our fleet of robots spans hundreds of facilities globally, working in

    sophisticated coordination to deliver on our promise of customer excellence

    • and we"re just getting started.

    As a Sr. Applied Scientist in Robot Perception, you will be at the forefront of

    this transformation. You will develop and deploy state-of-the-art perception

    algorithms that enable robots to truly understand and interact with the

    physical world - bridging the gap between theoretical research and realworld

    impact. Bringing deep expertise in Computer Vision and a nuanced

    understanding of the capabilities and limitations of modern Vision-Language

    Models (VLMs), you will innovate boldly and push the boundaries of what"s

    possible. Our vision for the Perception layer is ambitious: to enable seamless,

    intelligent interaction between the user, the robot, and its environment.

    This is a rare opportunity to work at the intersection of deep learning, large

    language models, and robotics - contributing to research that doesn"t just

    advance the field, but reshapes it. You will collaborate with world-class teams

    pioneering breakthroughs in dexterous manipulation, locomotion, and humanrobot

    interaction, all at an unprecedented scale.

    Key job responsibilities

    Design, develop, and deploy perception algorithms for robotics systems,

    including object detection, segmentation, tracking, depth estimation, and

    scene understanding

    • Lead research initiatives in computer vision, sensor fusion and 3D

    perception

    • Collaborate with cross-functional teams including robotics engineers,

    software engineers, and product managers to define and deliver

    perception capabilities

    • Drive end-to-end ownership of ML models - from data collection and

    labeling strategy to training, evaluation, and deployment

    • Mentor junior scientists and engineers; contribute to a culture of

    technical excellence

    • Define and track key metrics to measure perception system performance

    in real-world environments

    • Publish research findings in top-tier venues (CVPR, ICCV, ECCV, ICRA,

    NeurIPS, etc.) and contribute to patents

    A day in the life

    Train ML models for deployment in simulation and real-world robots,

    identify and document their limitations post-deployment

    • Drive technical discussions within your team and with key stakeholders to

    develop innovative solutions to address identified limitations

    • Actively contribute to brainstorming sessions on adjacent topics, bringing

    fresh perspectives that help peers grow and succeed - and in doing so,

    build lasting trust across the team

    • Mentor team members while maintaining significant hands-on

    contribution to technical solutions

    About the team

    Our Industrial Robotics Group is a diverse group of scientists and engineers

    passionate about building intelligent machines. We value curiosity, rigor, and a bias for action. We believe in learning from failure and iterating quickly toward solutions that matter.

    Numbers & Facts

    LocationSan Francisco, 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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