From being able to log you in with face recognition, launch Cortana with a voice command, to the exciting possibilities in augmented reality, are you itching to play a part in bringing applications of computer vision to millions? The Microsoft Applied Sciences Group incubates disruptive technologies for Microsoft’s next-gen hardware products and is working on several exciting projects that will shape how computers and other devices perceive the user and the user’s environment. Operating as a startup within the company, this team works closely with several research and product teams to bring compelling new experiences to the market. A lot of these experiences will be powered by computer vision - and as part of this team, you will have the unique opportunity to work on almost every aspect of a shipping vision system: camera optics, sensors, data pipeline and of course, developing and implementing the algorithms that make magic happen!
We are looking for a computer vision researcher with expertise in deep learning techniques to help our devices compute better understanding of the user and the environment. The ability to analyze multimodal sensor data and interpret various human and human-object interactions is key to Applied Sciences mission of enabling a seamless set of human computer interactions. As part of this team, you will be working with a growing team of talented researchers already dedicated to this mission and use data and hardware only available to a select few. Naturally, the opportunity for you to push the state of the art in this field is huge.
• Ph.D. in computer vision, machine learning, artificial intelligence or closely related field.
• Strong publication record in top-tier vision conferences (CVPR, ECCV, ICCV) and journals.
• Expertise in deep learning techniques (RNN’s, CNN’s, reinforcement learning) C/C++, Matlab or Python.
• OpenCL/CUDA experience is a plus.
• Tensforflow, CNTK, Caffe experience are a plus.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
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