we are 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, the company systems detect objects and obstacles on and along the tracks from up to 2 km 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. the company offers a range of complementary features based on collected and analysed data : image-based navigation, gis mapping and predictive maintenance.
were 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.
masters degree in Computer Science, engineering, or a related technical field or very experienced bachelor.
Requirements: 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.
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.
This position is open to all candidates.