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 Deep Learning Engineer with proven capabilities to lead the development of state-of-the-art computer vision products from concept to production. In this role, you will be a part of a highly talented R&D team driving the core of UVeye’s inspection portfolio, while researching and implementing diverse Machine and Deep Learning algorithmic solutions to solve complex, real-world visual challenges.
A day in the life and how you’ll make an impact:
- Design and Development of novel, robust and efficient Machine Learning/ Deep Learning algorithms for major Vision challenges.
- Create Proof of Concepts (PoC) for new products and technologies, transitioning research-grade ideas into scalable, production-ready systems.
- Evaluate, benchmark, and profile different algorithms on unique, large-scale proprietary datasets, while driving data-centric AI methodologies (active learning, data curation).
- Collaborate with infrastructure, MLOps, and hardware teams to define future technology, features, and optimize models for real-time inference constraints (on Edge/Cloud devices).
- 4+ years of industry experience in the development, optimization, and deployment of Deep Learning Algorithms in production environments.
- Hands-on industry experience working on major Vision problems in fields such as Detection, Classification, and Segmentation (experience with 3D Perception, Anomaly Detection, or Multi-View Geometry is a major advantage).
- Deep theoretical understanding of modern neural network architectures (e.g., CNNs, Vision Transformers - ViTs, Diffusion, or Generative AI for Vision)
- Experience with Python- Must, (C/C++ - An advantage).
- Experience with Major Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.).
- Experience working with Tracking / Identification / Image Retrieval / Anomaly Detection / Pose Estimation / OCR/Image Registration -An advantage.
- Comfortable in unexplored territory, independent and self-motivated.
- M.Sc./Ph.D. in Computer Science, Electrical Engineering, Data Science, 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.
Skills Required
- 4+ years of industry experience developing, optimizing, and deploying deep learning algorithms in production environments
- Industry experience with computer vision problems including detection, classification, and segmentation
- Deep theoretical understanding of modern neural network architectures, such as CNNs, Vision Transformers, diffusion models, or generative AI for vision
- Professional experience with Python
- Experience with major deep learning frameworks such as PyTorch or TensorFlow
- Ability to work independently and comfortably in unexplored technical areas
- Experience with 3D perception, anomaly detection, multi-view geometry, tracking, identification, image retrieval, pose estimation, OCR, or image registration
- Experience with C or C++
- M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related field
What We Do
UVeye is a computer vision tech company that develops automated inspection systems for vehicles, powered by artificial intelligence and proprietary hardware. Founded in 2016 by Amir and Ohad Hever, our systems have been installed at 100+ sites, including vehicle manufacturers, dealerships, fleet companies, logistical centers, energy, financial, diplomatic, and other sensitive security facilities. In 2019, Toyota Tsusho and Volvo headlined a $31M Series B, joining W.R. Berkley and F.I.T Ventures. In 2021, UVeye secured its Series C round from strategic investors like CarMax and Hyundai Motors, bringing UVeye to a grand total of over $90M in investment capital. As of March 2022, Volvo announced an expansion to their partnership with a long-term program aiming to install UVeye devices in all of its North American dealerships. Each day we are making an impact with technology by harnessing the power of AI to detect vehicle issues or security-related threats in the undercarriage before they cause fatalities. Our mission, every day, is to raise the standard of vehicle inspections to help create better mobility and safer roads.
