At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone. We are looking for an experienced Research Scientist, Sensing to push UVeye’s inspection beyond today’s sensing stack. You will evaluate, prototype, and develop AI models for new sensing modalities such as thermal, hyperspectral, acoustic, radar, structured light, and event cameras, surfacing vehicle defects that today’s systems cannot see. A day in the life and how you’ll make an impact Survey emerging sensing technologies and identify the modalities most likely to expand UVeye’s defect coverage. Prototype with new hardware, build small-scale datasets from scratch, and train modality-specific models. Run controlled experiments that benchmark new modalities against today’s inspection stack on shared defect scenarios. Develop multi-modal fusion approaches that combine new and existing sensors for stronger detection. Recommend which modalities graduate into product and partner with R&D and product on integration. Requirements 4+ years of experience in sensor-based ML, computer vision, or signal processing. Hands-on with at least one non-RGB modality (thermal, depth, radar, lidar, hyperspectral, acoustic, or event-based) and modality-specific model design. Strong Python and deep learning frameworks (PyTorch or TensorFlow). Experience designing experimental protocols and build
