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APPLIED SCIENTIST, AMAZON ROBOTICS
Amazon (Wa)

   Location: Us washingtonUsa wa seattleUs washington seattleUnited states

  Time: 3 days ago

Applied Scientist, Amazon Robotics

Job ID: 2844573 | Amazon.com Services LLC

DESCRIPTION

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:

1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 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!























BASIC QUALIFICATIONS

- PhD, or Master's degree and 4+ years of science, technology, engineering 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 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.

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 $223,400/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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