Are you a MS or PhD student interested in the fields of Computer Vision, Robotics, Machine Learning and Deep Learning and capable of diving deep into hard technical problems and coming up with insightful solutions that enable successful products? Are you unafraid of taking on a mind-bending challenge that really will improve peoples' lives in a meaningful way? Would you love to get access to large datasets with billions of images and video to build large-scale machine learning systems? Are you a finisher who can deliver robust, production-quality code that solves complex, real-world problems in ways that delight customers?
If this describes you, come join the Computer Vision teams at Amazon. Our teams are using computer vision, image recognition, machine learning, real-time and distributed systems to convert requirements into concrete deliverables. A Computer Vision Scientist at Amazon will translate business and functional requirements into quick prototypes or proofs of concept. Comfort with a high degree of ambiguity and ability to solve problems that haven't been solved to scale before are essential.
Amazon has multiple positions available for Computer Vision Scientists in locations such as Seattle/Bellevue, California Bay-Area, Southern California, Boston-Metro, New York, and Pittsburgh.
We are currently hiring for multiple teams including: * Visual Search * Amazon AI (AWS Rekognition) * Amazon Go * Lab126 * Amazon Robotics
Basic Qualifications * Currently Enrolled in Master's or Ph.D. degree in Engineering, Computer Science, Machine Learning, Math, Statistics or related fields with specialization in Computer Vision, Image recognition, robotics, machine learning, or deep learning * Theory and practice of designing experiments and statistical analysis of results * Experience in machine learning, algorithms and computational complexity * Experience implementing algorithms in computer vision using both toolkits and self-developed code * Skills with Java, C++, R, MATLAB, Python, or similar scripting or programming languages * Experience solving business problems through machine learning, data mining and statistical algorithms 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.