Algorithm Engineer
About The Position
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 researcher of the core deep learning algorithms and communicate with other researchers.
- Design and implement advanced algorithms to solve complex problems.
- Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.
Requirements
- Bachelor’s or master’s degree in computer science, Engineering, or a related technical field.
- At least 3 years’ experience as a researcher and development and deploying advanced algorithms.
- In depth familiarity with deep-learning algorithms, classic machine learning and computer vision.
- Experience in Python & PyTorch or other machine learning frameworks and mathematical modelling.
- Good communication skills, self-motivated, proactive, flexible and passionate about learning
- Focus on end to end delivery of solutions for real world scenario in challenging timeframe.
- Deep knowledge in CNN for object detection, classification & segmentation