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Deep learning research engineer at Rail Vision · Trevo
Rail Vision is a multidisciplinary company 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 and obstacles on and along the tracks from up to 2 k”m away, in real-time, and in diverse 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 analysed data: Image-based Navigation, GIS Mapping and Predictive Maintenance.
We’re looking for an experienced Deep Learning & Computer Vision research engineer to join our Algorithms group.
What will you do:
Be a researcher of the core deep learning algorithms and partnering with other teammates.
Developing our next generation 2D/3D perception models that utilizes CV in complex environment.
Work across full ML cycle: data, design, train and debug, solvIng complex problems that aligned to customer KPIs.
Requirements
Master’s degree in computer science, Engineering, or a related technical field or very experienced Bachelor.
At least 6 years’ experience as a researcher engineer with deploying advanced algorithms.
Understand deeply, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.