Applied Scientist, Amazon Robotics

Details of the offer

Job ID: 2808844 | Amazon.com Services LLC
Do you want to create worldwide impact in robotics while solving challenges at the edge of robotics research? Our collaborative team in Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Our mission is to create robots that perform contact-rich tasks safely, efficiently, and dexterously amid the complexity and variety of Amazon warehouses. Our solutions learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.
We are seeking an Applied Scientist to join our Motion Planning and Control team working on rapid, contact-rich manipulation. You will apply the latest trends in research to solve real-world problems alongside a world-class team of experts in motion planning, computer vision, deep learning, intelligent control, and semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, closed-loop control, robotic grasping, and manipulation in high-contact environments. Your contributions will drive the development of advanced robotic systems capable of handling complex, dynamic environments and transforming how robots interact with the world around them.
Key job responsibilitiesResearch, design, implement and evaluate complex motion planning, controls, and decision-making algorithms that improve the performance of systems deployed in real-world conditions.Apply recent advances in topics such as planning optimization, model-based controllers, or grasp affordance learning to our systems in the lab and in the field.Work closely with software engineers to drive scalable, real-time implementations.Collaborate with experts across disciplines including perception, hardware and software to create intelligent, integrated systems and solutions.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.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Relevant industry or academic research experience in developing algorithms for robotic motion planning, perception, decision making, control and developing robotic systems.
PREFERRED QUALIFICATIONS- PhD and 1+ year of relevant industry or academic applied research experience in developing algorithms for robotic motion planning, control and decision making.
- Experience with interdisciplinary developments that involve hardware, software, and algorithm synergistic design.
- Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, etc.
- Experience implementing machine learning-based control policies on real robotic systems, including reinforcement learning, imitation learning, or behavior cloning.
- Experience developing and debugging software on physical systems.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
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