Amazon.com Services LLC
Research Science, Applied Science, subsidiaries
AppliedScientistII
Neural analysis suggests this role is
optimal for Mid candidates.
“Applied Scientist II at Amazon.com Services LLC. Skills: Computer Vision, Machine Learning, Robotics, Perception algorithms. Design perception algorithms for robotics systems. Develop perception algorithms for robotics systems”
Industry & Context.
Solve complex operational challenges
What They're Looking For.
Must Have
Experience programming in Java, C++, Python, PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, 1+ years of building machine learning models for business application experience, Experience with neural deep learning methods and machine learning, Publications at top-tier peer-reviewed conferences or journals
Nice to Have
Experience with large scale distributed systems, PhD in Robotics, with a focus on Robot Perception, Experience leading research initiatives in full-stack robotics or foundation models, Track record of successful production robotics deployments, Experience bridging research with practical engineering implementation in robotics systems, Extensive programming skills in Python and PyTorch/JAX
What You'll Do.
Design perception algorithms for robotics systems
Develop perception algorithms for robotics systems
Deploy perception algorithms for robotics systems
Contribute to research initiatives in computer vision
Contribute to research initiatives in sensor fusion
Contribute to research initiatives in 3D perception
Collaborate with cross-functional teams
Define perception capabilities
Deliver perception capabilities
Drive end-to-end ownership of ML models
Publish research findings
Contribute to patents
Train ML models for deployment
Identify model limitations post-deployment
Document model limitations post-deployment
Contribute to technical discussions
Develop innovative solutions
Contribute to brainstorming sessions
How You'll Work.
Team & Collaboration
Cross-functional teams; Robotics engineers; Software engineers; Product managers; World-class teams
Full Job Description
Amazon is on a mission to redefine the future of automation — and we're looking for exceptional talent to help lead the way. We are building the next generation of advanced robotic systems that seamlessly blend cutting-edge AI, sophisticated control systems, and novel mechanical design to create adaptable, intelligent automation solutions capable of operating safely alongside humans in dynamic, real-world environments. At Amazon, we leverage the power of machine learning, artificial intelligence, and advanced robotics to solve some of the most complex operational challenges at a scale unlike anywhere else in the world. Our fleet of robots spans hundreds of facilities globally, working in sophisticated coordination to deliver on our promise of customer excellence — and we're just getting started. As an Applied Scientist in Robot Perception, you will be at the forefront of this transformation. You will develop and deploy state-of-the-art perception algorithms that enable robots to truly understand and interact with the physical world — bridging the gap between theoretical research and real-world impact. Bringing deep expertise in Computer Vision and a nuanced understanding of the capabilities and limitations of modern Vision-Language Models (VLMs), you will innovate boldly and push the boundaries of what's possible. Our vision for the Perception layer is ambitious: to enable seamless, intelligent interaction between the user, the robot, and its environment. This is a rare opportunity to work at the intersection of deep learning, large language models, and robotics — contributing to research that doesn't just advance the field, but reshapes it. You will collaborate with world-class teams pioneering breakthroughs in dexterous manipulation, locomotion, and human-robot interaction, all at an unprecedented scale. Join us in building intelligent robotic systems that will define the future of automation and human-robot collaboration. Key job responsibilities - Design, develo
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