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Data Scientist
2 months ago
Rapiscan Systems is a leading provider of detection technology, offering innovative solutions for cargo and vehicle inspection systems and services. We are seeking a highly skilled Data Scientist to join our team and contribute to the development of cutting-edge computer vision and deep learning algorithms.
Key Responsibilities- Design and develop novel research in object detection, image classification, and automated threat recognition (ATR) using computer vision and deep learning techniques.
- Collaborate with a multi-disciplinary team of Scientists and Engineers to design new algorithms, improve performance of existing algorithms, and identify new applications.
- Investigate, develop, prototype, and evaluate state-of-the-art algorithms in computer vision, deep learning, and image processing.
- Report to the Director of Science and Technology (S&T) and coordinate with other members of the S&T and engineering teams.
- Support and contribute towards the establishment and implementation of the S&T RoadMap, focusing on developing and protecting differentiated technologies.
- Master's degree in Electrical Engineering, Computer Science, or related technical discipline.
- Focus on computer vision, machine learning/deep learning, or image processing is preferred.
- Experience in Python, C/C++, and Matlab.
- Track record in applying computer vision and machine learning techniques to object detection, recognition, or segmentation through academic research or industry projects.
- Familiarity with popular deep learning architectures for computer vision such as ResNet, RetinaNet, or VGGNet.
- Knowledge on data augmentation techniques for small datasets.
Rapiscan Systems offers a dynamic and collaborative work environment, with opportunities for professional growth and development. We are committed to excellence in imaging performance, innovative design, and uncompromising quality, ensuring our solutions consistently deliver best-in-class imaging, high reliability, and operator satisfaction.
