Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We are the leading provider of obstacle detection & classification systems in the railway industry around the globe, supporting Autonomous Train Operations. With our unique cognitive sensor fusion technology, based on advanced electro-optic sensors and deep learning, Rail Vision systems detect objects on and along the tracks from up to 2 kilometers away, in real-time, and in all weather and lighting conditions. We provide systems capable of operating in various environments: On mainline and high-speed rail, in urban environments, and in challenging switchyards. Rail Vision offers a range of complementary features based on collected and analyzed data: Image-based Navigation, GIS Mapping and Predictive Maintenance. We’re looking for a brilliant Deep Learning & Computer Vision engineer to join our Algorithms group What will you do?
* Be a senior researcher of the core deep learning algorithms and communicate with other researcher.
* Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.
Advantages:
* Familiar with Electro optics devices (Thermal cameras, lenses, etc.)
* Experience working in multidisciplinary environments
* Experience in the automotive industry
Requirements: * B.Sc. in relevant field.
* At least 5 years’ experience as a researcher
* In depth familiarity with deep-learning algorithms, classic machine learning and computer vision.
* Experience in Python & PyTorch
* Good communication skills, self-motivated, proactive, flexible and passionate about learning
* Focus on delivery of solutions for real world scenario in challenging timeframe.
* Deep knowledge in CNN for object detection, classification & segmentation
This position is open to all candidates.