The purpose of this internship is to prepare college juniors and seniors for entry into the business world by providing a thorough understanding of the various functions of the Zebra Technologies organization to include theory and practical application of attained knowledge.
Project work will differ in each area depending on business needs, and all interns will participate in the US Zebra Internship Program. The program is designed to provide you with a full experience so that you can fully envision a career with Zebra. You be positioned for success with training, exposure to all parts of the business, social activities, a professional mentor relationship and development sessions to help you discover your own performance edge!
Zebra Technologies’ Chief Technology Office is an intrapreneurial team creating innovative solutions for the transportation & logistics, warehouse, retail, and healthcare markets. These “first of a kind” solutions are helping retail managers improve their store operations & better serve their customers and are helping T&L managers enhance the efficiency of their loading operations.
The CTO’s Solution Incubation Team focuses on advanced development and application of emerging edge sensing, artificial intelligence, and workflow optimization technologies in innovative end-to-end system prototypes to solve real-world problems and advance these systems into new businesses. This intern position is with our artificial intelligence group, whose expertise includes machine learning, computer vision, image analysis, natural language processing, embedded systems, and cloud computing.
Working with members of our team, you will develop 3D computer vision algorithms and their software implementations to enhance our systems that provide insights to improve our customers’ operations. You will contribute to creating innovative solutions that leverage 3D sensors, image sensors, computer vision and machine learning software libraries and frameworks.
Expecting to complete a Master or Ph.D. degree during the 2019-2020 academic year, in Computer Science, Computer Engineering, Electrical Engineering, or related field, with a concentration in machine learning and/or computer vision.