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 Deep Learning Engineer with proven capabilities to lead the development of new products from concept to production. In this role, you will be a part of a highly talented team to drive UVeye’s inspection portfolio, while creating diverse Machine and Deep Learning algorithmic solutions.

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 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.

Requirements:

• 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.