Senior Deep Learning Engineer

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.
• Experience with AI tools and generative AI frameworks to enhance development productivity and research workflows, such as Codex, Cursor, and Claude.