Senior Deep Learning Engineer
UVeyeAbout UVeye
UVeye was founded in 2016 and pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI.
The company has secured over $380M in funding and maintains strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz. Technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide.
UVeye was named one of Fast Company's Most Innovative Companies of 2026. The company has 300+ global employees who are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
About the Role
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. You will be 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.
Responsibilities
- Design and develop 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)
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
- Deep theoretical understanding of modern neural network architectures (e.g., CNNs, Vision Transformers - ViTs, Diffusion, or Generative AI for Vision)
- Experience with Python – Must
- Experience with Major Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.)
- Comfortable in unexplored territory, independent and self-motivated
Advantages
- Experience with 3D Perception, Anomaly Detection, or Multi-View Geometry
- Experience with C/C++
- Experience working with Tracking / Identification / Image Retrieval / Anomaly Detection / Pose Estimation / OCR / Image Registration
- M.Sc./Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related field
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
About UVeye
UVeye is a computer vision tech company that develops automated inspection systems for vehicles, powered by artificial intelligence and proprietary hardware. The systems use AI, machine learning, and 360-degree imaging to detect vehicle defects, assess conditions, and identify safety issues in seconds across exterior, undercarriage, and tire zones.
Interested in this role?
Apply now to join UVeye.