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Member of Technical Staff - Science, Frontier AI & Robotics (FAR)

Amazon.com Inc

  • San Francisco, CA
  • 7 days ago
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    Skills

    • Algorithmsunmatched
    • Artificial Intelligence (AI)unmatched
    • Building Systemsunmatched
    • Data Setsunmatched
    • Deep Learningunmatched
    • International Operationsunmatched
    • Modeling Languagesunmatched
    • Multitaskingunmatched
    • Production Systemsunmatched
    • Prototypingunmatched
    • Roboticsunmatched
    • Scene Understandingunmatched
    • Strategic Planningunmatched
    • Team Lead/Managerunmatched
    • Technical Leadershipunmatched
    • Technical Strategyunmatched
    • Training/Teachingunmatched

    Description

    Join the next revolution in robotics at Amazon"s Frontier AI & Robotics team, where you"ll work alongside world-renowned AI pioneers to push the boundaries of what"s possible in robotic intelligence. As a Member of Technical Staff, you"ll be at the forefront of developing breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You"ll drive independent research initiatives in areas such as perception, manipulation, science understanding, locomotion, manipulation, sim2real transfer, multi-modal foundation models and multi-task robot learning, designing novel frameworks that bridge the gap between state-of-the-art research and real-world deployment at Amazon scale.

    In this role, you"ll balance innovative technical exploration with practical implementation, collaborating with platform teams to ensure your models and algorithms perform robustly in dynamic real-world environments. You"ll have access to Amazon"s vast computational resources, enabling you to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.

    Key job responsibilities

    • Drive independent research initiatives across the robotics stack, including robotics foundation models, focusing on breakthrough approaches in perception, and manipulation, for example open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization
    • Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish
    • Lead full-stack robotics projects from conceptualization through deployment, taking a system-level approach that integrates hardware considerations with algorithmic development, ensuring robust performance in production environments
    • Collaborate with platform and hardware teams to ensure seamless integration across the entire robotics stack, optimizing and scaling models for real-world applications
    • Contribute to the team"s technical strategy and help shape our approach to next-generation robotics challenges

    A day in the life

    • Design and implement novel foundation model architectures and innovative systems and algorithms, leveraging our extensive infrastructure to prototype and evaluate at scale
    • Collaborate with our world-class research team to solve complex technical challenges
    • Lead technical initiatives from conception to deployment, working closely with robotics engineers to integrate your solutions into production systems
    • Participate in technical discussions and brainstorming sessions with team leaders and fellow scientists
    • Leverage our massive compute cluster and extensive robotics infrastructure to rapidly prototype and validate new ideas
    • Transform theoretical insights into practical solutions that can handle the complexities of real-world robotics applications

    About the team

    At Frontier AI & Robotics, we"re not just advancing robotics - we"re reimagining it from the ground up. Our team is building the future of intelligent robotics through innovative foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.

    What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon"s massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We"re building systems that don"t just work in the lab, but scale to meet the demands of Amazon"s global operations.

    Join us if you"re excited about pushing the boundaries of what"s possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.

    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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