Description
Robin Radar is hiring a Deep Learning Engineer to develop, train, optimize, and deploy neural networks for real-time radar detection, segmentation, classification, and tracking of small airborne objects. The role involves processing non-natural 3D, 4D, and 5D radar imagery, preparing and augmenting large-scale datasets, optimizing models for edge inference, and validating performance in field conditions. The position requires an MSc in a relevant technical field, 2–4 years of deep learning and computer vision experience, Python and PyTorch proficiency, and familiarity with edge deployment tools such as TensorRT or ONNX.
