Amazon
Applied Scientist, Amazon Robotics
Amazon, Seattle, Washington, us, 98127
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 responsibilities
Research, 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.
A day in the life
Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Minimum Qualifications
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience in patents or publications at top-tier peer-reviewed conferences or journalsExperience programming in Java, C++, Python or related languageRelevant industry or academic research experience in developing algorithms for robotic motion planning, perception, decision making, control and developing robotic systems.
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. For individuals with disabilities who would like to request an accommodation, please visit
https://www.amazon.jobs/en/disability/us .
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. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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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 responsibilities
Research, 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.
A day in the life
Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Minimum Qualifications
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience in patents or publications at top-tier peer-reviewed conferences or journalsExperience programming in Java, C++, Python or related languageRelevant industry or academic research experience in developing algorithms for robotic motion planning, perception, decision making, control and developing robotic systems.
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. For individuals with disabilities who would like to request an accommodation, please visit
https://www.amazon.jobs/en/disability/us .
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. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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