Sr. Applied Scientist, Amazon Robotics

Are you excited about developing foundation models to revolutionize automation, robotics, and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics, we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for collaborative scientists, engineers, and program managers for a variety of roles.The Amazon Robotics software team is seeking an experienced and senior Applied Scientist to focus on computer vision machine learning models. This includes building multi-viewpoint and time-series computer vision systems, as well as large-scale models using data from many different tasks and scenes. This work spans from basic research such as cross-domain training to experimenting on prototypes in the lab, and running wide-scale A/B tests on robots in our facilities.Key job responsibilities

Research vision - Where should we be focusing our effortsResearch delivery – Proving/dis-proving strategies in offline data or in the labProduction studies - Insights from production data or ad-hoc experimentation.Minimum Qualifications

PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field5+ years of industry or academic research experienceExperience in building machine learning models for business applicationsExperience programming in Java, C++, Python, or a related language5+ years of industry or academic research experience in applied research and development in computer vision and machine learning modelsPreferred Qualifications

PhD and 7+ years of post-PhD industry or academic applied research experience in computer vision and machine learning modelsProven ability to innovate and develop robust and scalable solutions to complex robotics problemsExperience in patents or publications at top-tier peer-reviewed conferences or journalsAmazon 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

this link .Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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

this link .This position will remain posted until filled. Applicants should apply via our internal or external career site.

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