Applied Scientist, Amazon Robotics

The role involves creating advanced robotic systems for Amazon Robotics to perform contact-rich tasks safely and efficiently in Amazon warehouses.

• Research, design, and implement complex motion planning, controls, and decision-making algorithms.
• Apply recent advances in planning optimization, model-based controllers, and grasp affordance learning.
• Collaborate with software engineers to drive scalable, real-time implementations.
• Work with experts across disciplines to create intelligent, integrated systems.
• Represent Amazon in the academic community through publications and scientific presentations.
• Collaborate with hardware, science, and operations teams to iterate on systems design and implementation.

• PhD or Master's degree with 4+ years of experience in CS, CE, ML, or related field.
• Experience in patents or publications at top-tier conferences or journals.
• Experience programming in Java, C++, Python, or related languages.
• Industry or academic research experience in developing algorithms for robotic motion planning, perception, decision making, and control.
• Experience with interdisciplinary developments involving hardware, software, and algorithm design.
• Experience in relevant technical areas like robotics, computer vision, machine learning, sensors, real-time systems, etc.
• Experience implementing machine learning-based control policies on real robotic systems.