ObjectVideo Labs develops highly customized video intelligence solutions for its clients. Our commercial software is recognized as a global market leader in providing intelligent video analytics to leading IP Camera and Video Management System manufacturers.
Tysons, VA

Research Scientist

Contribute to exciting and high visibility projects that will push the state-of-the-art in image/video understanding, computer vision and deep learning. 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. The successful candidate will also have ample opportunities to lead projects based on their generated ideas. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research.

Areas of interest include but are not limited to: object classification/detection/reidentification; object tracking and association; human pose and gesture recognition; activity classification/detection/recognition; 3D modeling and reconstruction; semantic/instance/panoptic segmentation; feature extraction and matching; face detection/verification/recognition; face-based liveness detection and anti-spoofing; image and video synthesis; image denoising and quality improvement; deep embedding learning; and adversarial learning such as generative adversarial networks. 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 in related fields with a strong publication record, and can demonstrate both the breadth and the depth of knowledge that is required to solve challenging problems in real-world scenarios.

Candidate Profile

MS in Computer Engineering, Computer Science, Computer Vision, Robotics, related field or equivalent experience; PhD preferred.

Solid research background and experience in computer vision, deep learning, and image/video analysis algorithms.

Current knowledge of research literature in Computer Vision with a history of publication in the field.

Excellent written and oral communication skills also required.

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.

EEO is the Law.

Applicants to and employees of this company are protected under Federal law from discrimination.  Follow the link above to find out more.

Email resume and cover letter to careers@objectvideo.com.

In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future contract positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.