Interested in driving research that in image recognition technologies to automate defect detection and disposition in Amazon’s fulfillment centers? Amazon Global Fulfillment Services is seeking an Applied Research Scientist to apply and extend state-of-the-art research in image recognition and computer vision to develop models to detect a variety of defect indicators present in our inventory inspection image repository. You will analyze and process product images captured in Amazon’s fulfillment centers, design and collaborate with developers to execute data collection exercises via Mechanical Turk, evaluate state-of-the-art models and approaches, and develop new algorithms to improve our defect detection capabilities. You will partner with developers and product managers to design new product UX to increase inventory investigation efficiency, and deploy automation of high confidence diagnosis and disposition of defects. Responsibilities: · Evaluate state-of-the-art algorithms and approaches
· MS in Computer Science, Machine Learning, Computer Vision, Image Recognition, or other relevant areas · 4+ years of experience in an industrial applied science setting, where your work was directly incorporated into production systems · Proficiency in Python, and image data manipulation · Understanding of computer science fundamentals such as data structures, object-oriented design and service-oriented architectures · Ability to convey Machine Learning concepts and considerations to non-experts· PhD in Computer Science, Machine Learning, Computer Vision, Image Recognition, or other relevant areas