The Amazon Robotics team is seeking an experienced Applied Scientist to join our team. In this role you will apply the latest trends in research to solve realworld problems in robotics and AI. You will collaborate with a team of scientists and engineers building these applications. We holistically design build and deliver endtoend 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
We have several open positions for candidates with varying levels of experience. We seek candidates who can:
Research design implement and evaluate novel algorithms for dexterous robotics
Work on endtoend robotics systems creating scalable systems for many applications
Collaborate closely with team members on developing systems from prototyping to production level
Collaborate with teams spread all over the world in particular Boston and Seattle
Work closely with software engineering teams to drive Amazon scale realtime implementations
Be driven by business goals
We are looking for applied scientists with expertise in any of the following:
Computer vision (including but not limited to tracking object recognition visual SLAM motion prediction reconstruction)
Machine learning (e.g. reinforcement learning supervised learning Bayesian methods online learning systems ML for robotics)
Control (e.g. impedance and direct force control dynamics trajectory control motion planning simulation)
PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
PhD and relevant industry or academic research experience in developing algorithms for robotic computer vision and/or motion planning/control.
Experience in one or more relevant technical areas: robotics computer vision machine learning sensors realtime systems embedded systems distributed systems or simulation.
Experience in publishing at major robotics and related conferences (e.g. RSS NIPS ICRA CVPR CORL ICCV) or journals (IJRR IEEE TRO JMLR).
Experience with interdisciplinary developments that involve hardware software and algorithm codesign.
Expertise building and testing realtime systems.
Demonstrated experience incubating and productionizing new technology from idea generation through implementation.
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