Applied Scientist - Robotics AI, Robotics AI

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Job summary
The Robotics AI team is seeking an Applied Scientist to join our team. In this role you will apply the latest trends in research to solve real-world problems in Robotics AI. You will collaborate with a team of scientists and engineers building these applications. We holistically design, build, and deliver end-to-end robotic systems. Our team is also responsible for core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, software engineers, and hardware engineers to collaborate and deploy systems in the field.

Key job responsibilities
• Research, design, implement and evaluate complex perception, motion planning, and decision making algorithms integrating across multiple disciplines and leveraging machine learning.
• Create experiments and prototype implementations of new learning algorithms and prediction techniques.
• Work closely with software engineering team members to drive scalable, real-time implementations.
• Collaborate with machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models.
• Collaborate closely with hardware engineering team members on developing systems from prototyping to production level.
• Represent Amazon in academia community through publications and scientific presentations.
• Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation.


· PhD in robotics or related discipline
· 2+ years of relevant industry or academic research experience in developing algorithms for robotic motion planning, control and developing robotic systems.
· Ability to work on a diverse team or with a diverse range of coworkers.


· PhD and 4+ years of relevant industry
· Experience with machine learning methods
· Strong algorithm development experience.
· Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design.
· Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, distributed systems, simulation, high-performance scientific computing, or building infrastructure for engineering/science users.
· Expertise building and testing real-time systems.
· Experience supporting large-scale infrastructure and tool development for scientific/engineering users.
· Demonstrated experience incubating and productionizing new technology from idea generation through implementation.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.


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