Overview At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. UVeye has an excellent product-market fit with hundreds of car dealerships, car auctions, and car fleets as perpetual paying customers. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world. Responsibilities

Lead the development of new products from concept to production as a Senior Computer Vision Engineer. Join the London office in Camden Town (3 office days per week) and drive UVeye's inspection portfolio with a team to create diverse Machine and Deep Learning algorithmic solutions. Design and Development of novel robust and efficient 3D reconstruction and clustering algorithms, combining classical and Deep Learning algorithms for major Vision challenges. Create Proof of concept for new products and technology. Evaluate and benchmark different algorithms on unique proprietary datasets. Collaborate with team members to define future technology and features.

Qualifications

4+ years of industry experience in developing and productizing Computer Vision algorithms, with emphasis on 3D reconstruction and clustering algorithms. Hands-on industry experience working on major Vision problems in the fields of 3D reconstruction, monocular depth estimation, and clustering. Experience with Python. Experience with major computer vision frameworks and pipelines (OpenCV, COLMAP, etc.). Experience with major deep learning frameworks (such as PyTorch, TensorFlow, etc.). Experience working with Tracking / SFM / SLAM / mono-color depth / Point Cloud Registration - An advantage. Comfortable in unexplored territory, independent and self-motivated. Relevant degree. Availability to work 3 days a week from our London (Camden) office.

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.

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