Robots are about to step out of the movies and into our homes. If you're excited about this robotics revolution, come join Amazon's Personal Robotics Group. As an Applied Scientist in this org, you'll design and implement state-of-the-art algorithms that bridge Force Control, Visuotactile Sensing, and Tactile Perception to create advanced manipulation capabilities for robotic systems. Your work will directly impact how our intelligent system physically interacts with objects in dynamic home environments, building robust force-feedback control systems that enable safe and dexterous manipulation alongside family members. You'll push the state-of-the-art techniques in Robotics and design novel algorithms that bridge the gap between research and real-world deployment. In this role, you'll develop expert models as well as end-to-end learning-based solutions that integrate Tactile Sensing, Force/Torque Control, and Visuotactile Policies into unified manipulation frameworks. You'll leverage advanced Deep Learning techniques including Transformer architectures, Multi-modal Foundation Models, and Contact-rich Manipulation methods to create robust control systems for domestic environments. Your solutions will need to handle the unique challenges of unstructured environments - from varying object properties and contact dynamics to safe physical interactions with humans and pets, utilizing tactile and force feedback to achieve precise, compliant manipulation behaviors. The Personal Robotics Group is pioneering intelligent robotic products that deliver meaningful customer experiences. We're building the next generation of robotic systems that will redefine how customers interact with technology. This is a unique opportunity to shape the future of personal robotics working with world-class teams pushing the boundaries of what's possible in robotic Manipulation, Locomotion, and Open World Understanding. Join us if you’re passionate about creating the future of personal robotics, solving complex challenges at the intersection of hardware and software, and seeing your innovation deliver transformative customer experiences.
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Job Type
Full-time
Career Level
Mid Level