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

Machine Learning Engineer

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.

Candidate Profile

BS in Computer Science or Electrical Engineering, related field or equivalent experience, MS preferred

Past successful experience in applying machine learning and deep learning to solve computer vision problems

Ability to work with complex multi-facetted problems

Strong coding skills, including experience with Python, C/C++ a plus

Strong statistical background, a minor in math or statistics is a plus

Computer Vision, Machine learning, or Data Science coursework or experience required

Good data management skills and the ability to work with large disparate datasets

Looking for someone with an analytical mind set able to work within a scientific process

Must be a self-motivated worker and team player with good communication skills

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.