Research Scientist, Sensing
Posted 18 days ago · 0 applicants
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The role in plain words
This role focuses on expanding vehicle inspection capabilities beyond standard RGB cameras. You will evaluate, prototype, and develop AI models for new sensing modalities such as thermal, acoustic, radar, and structured light. Day-to-day tasks include working with new hardware, building small-scale datasets from scratch, and running controlled experiments to benchmark these new modalities.
- 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 building datasets from scratch
- Comfortable working with new hardware, vendors, and physical setups
- Publications or patents in sensing, perception, or related fields
- M.Sc./Ph.D. in Electrical Engineering, Computer Science, Physics, or a related field
Extracted from the job description · kept up to date automatically
Who this suits
This role suits experienced researchers with at least four years of experience in sensor-based machine learning, computer vision, or signal processing, particularly those comfortable working with physical hardware and non-RGB modalities. It is less ideal for those who prefer working exclusively with pre-existing datasets or standard RGB-only computer vision pipelines.
Full job description
Original listing · kept for referenceAt 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 building datasets from scratch.
• Comfortable working with new hardware, vendors, and physical setups.
• Publications or patents in sensing, perception, or related fields, an advantage.
• M.Sc./Ph.D. in Electrical Engineering, Computer Science, Physics, or a related field, a strong advantage.
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.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 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 building datasets from scratch, Comfortable working with new hardware, vendors, and physical setups