Senior Research Scientist - Sensing & Computer Vision

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 Senior Research Scientist, Sensing, to push UVeye’s inspection beyond today’s sensing stack. In this role, 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:

• Explore Next-Gen Modalities: Evaluate emerging technologies - including thermal, hyperspectral, acoustic, radar, structured light, and event-based cameras to expand our defect coverage continuously.

• Rapid Prototyping & Dataset Building: Work hands-on with novel hardware setups, generating custom, small-scale datasets from scratch and training modality-specific AI models.

• Benchmark & Validate: Design controlled experiments to quantitatively benchmark new sensing modalities against UVeye’s existing production inspection stack.

• Multi-Modal Sensor Fusion: Develop algorithms that integrate new and existing sensor streams to maximize detection precision and reliability.

• Transition R&D to Production: Deliver data-backed recommendations on which modalities to productize, collaborating closely with R&D and Product teams for full integration.

Requirements:

• Experience: 4+ years of hands-on experience in sensor-based ML, computer vision, or signal processing.

• Non-RGB Expertise: Practical experience with at least one non-RGB modality (e.g., thermal, depth, radar, lidar, hyperspectral, acoustic, or event cameras) and modality-specific model design.

• Education: M.Sc. or Ph.D. in Electrical Engineering, Computer Science, Physics, or a related quantitative field.

• IP & Research: Record

• Technical Stack: Advanced proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).

• Experimental Rigor: Proven ability to build datasets from scratch, design experimental protocols, and work directly with physical hardware setups and vendors.

• of patents or peer-reviewed publications in sensing, perception, or computer vision.

Why UVeye:

Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.

Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.

Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.