Description We're seeking an Applied Scientist to join our Robotics team. This role focuses on developing innovative machine learning solutions that enable robots to perform complex manipulation tasks in real-world environments. You will work on creating adaptive learning approaches that combine traditional robotics with modern ML techniques to improve robot performance and reliability. In this role, you will collaborate with multidisciplinary teams to advance the state-of-the-art in robotic manipulation, contributing to the development of next-generation autonomous systems that can operate safely and efficiently within Amazon fulfillment centers. Key job responsibilities - Lead design, adapt, and implement novel machine learning solutions for manipulation robots - Create hybrid approaches combining classical methods with learning-based solutions - Design learning algorithms for automated parameter tuning and adaptation - Develop data collection pipelines and methodologies for capturing high-quality demonstrations of dexterous tasks - Build and test prototype robotic workcell setups to validate the performance of the solution - Partner with cross-functional teams to rapidly create new concepts and prototypes - Work with Amazon's robotics engineering and operations teams to grasp their requirements and develop tailored solutions - Document the architecture, performance, and validation of the final system A day in the life Day in the Life Section Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. 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 CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience building machine learning models or developing algorithms for business application - Experience applying theoretical models in an applied environment Preferred Qualifications - • PhD in Robotics, Computer Science, or related field with focus on machine learning and robot control - • Experience developing and implementing machine learning approaches for robotic systems, particularly in imitation learning or reinforcement learning - • Strong background in robot control systems, particularly in force/impedance control and contact-rich manipulation - • Experience with real-time control systems and robot motion planning - • Track record of translating research concepts into practical robotic applications - • Strong programming skills and experience with modern ML frameworks - • Experience with demonstration-based learning and data collection for robotic systems - • Excellent collaboration and communication skills, with ability to work across multidisciplinary teams Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.