Contribute to exciting and high visibility projects that will push the state-of-the-art in image and video understanding, computer vision, machine learning, deep learning, and data mining and reasoning. This will involve generation and evaluation of novel ideas, presentation of these ideas to peers and customers and participation in engineering these ideas for real-world systems. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research.
The main job responsibility of the candidate will be working with computer vision scientists and engineers to develop, evaluate, and optimize machine learning and deep learning methods for a wide range of computer vision tasks, including face detection/verification/recognition; face-based liveness detection and anti-spoofing; moving object detection and tracking; object classification/recognition/identification; 3D reconstruction; activity detection and classification; and scene classification and segmentation. Candidate should be conversant with the latest development in deep learning for visual recognition and video analytics, including the latest deep model compression and optimization techniques for edge inference and training. The ideal candidate possesses an impressive educational background and work experience in using machine learning and deep learning to solve computer vision problems, and can demonstrate both the breadth and the depth of knowledge that is required to solve challenging problems in real-world scenarios.
ObjectVideo Labs offers competitive pay and a generous benefits package including health and welfare benefits, 401(k) with employer match, paid holidays, paid time off, and paid maternity/paternity leave. We offer a casual work environment, gym subsidy, education assistance program, and in-suite bike racks and showers.
ObjectVideo Labs is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by law.
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