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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 real-world problems in robotics and 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.

About the team
Watch this video to learn more about Vulcan Pick team in Amazon Robotics: https://www.amazon.science/publications/vulcan-pick-a-robotic-system-for-picking-targeted-objects-from-fabric-pods

BASIC QUALIFICATIONS

PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
Experience programming in Java, C++, Python or related language
Experience in implementing state-of-the-art scene understanding and computer vision algorithms or robotic manipulation / motion planning approaches
Experience in delivering customer-facing results in robotics
Experience as a technical lead for an interdisciplinary team in computer vision and robotic manipulation areas
Experience in publishing at major robotics and related conferences (e.g. RSS, NIPS, ICRA, CVPR, CORL, ICCV) or journals (IJRR, IEEE TRO, JMLR).
Experience mentoring/coaching junior team members and supporting their career growth

PREFERRED QUALIFICATIONS

PhD and relevant industry or academic research experience in developing algorithms for robotic computer vision and/or motion planning/control.
Experience in large-scale data collection and CV/ML models that leverage scale in robotic products (e.g. large vision models, transformers, etc.)
Experience in hardware trades (e.g. sensor selection) and diverse systems architectures (real-time, embedded, distributed, etc.)
Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design.
Experience in physics engines and transferring algorithms from simulation to real environments
Experience with developing and maintaining software architectures for robotic systems
Demonstrated experience incubating and productionizing new technology from idea generation through large-scale deployment.

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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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