Algorithms Researcher

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.

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

Advantages:

Familiar with Electro optics devices (Thermal cameras, lenses, etc.)
Experience working in multidisciplinary environments
Experience in the automotive industry