Senior Deep Learning Engineer
Core
Lead the development of state-of-the-art computer vision products from concept to production, solving complex real-world visual challenges for vehicle safety and reliability.
Role type
Senior Deep Learning Engineer (Computer Vision)
Builds
AI-powered vehicle inspection systems deployed in manufacturing plants, dealerships, auctions, fleets, and seaports
Domain
Automotive / Computer Vision / Machine Learning
Deliverable
production ML models
Required skills
Deep Learning algorithm design, Computer Vision (Detection, Classification, Segmentation), Neural Network architectures (CNNs, ViTs, Diffusion), Python, Deep Learning Frameworks (PyTorch, TensorFlow), Data-centric AI (active learning, data curation), MLOps collaboration, Edge/Cloud optimization (via careerplan.io/jobs/92-00F-C2-B6C-senior-deep-learning-engineer-at-uveye)
Preferred skills
C/C++, 3D Perception, Anomaly Detection, Multi-View Geometry, Tracking/Identification/Image Retrieval/Pose Estimation/OCR/Image Registration, Generative AI frameworks, AI coding tools (Codex, Cursor, Claude)
Technologies
PyTorch, TensorFlow, C++, Python, Generative AI frameworks
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; Evaluate, benchmark, and profile different algorithms on large-scale proprietary datasets; Collaborate with infrastructure, MLOps, and hardware teams to optimize models for real-time inference constraints
Seniority
Senior, hands-on IC
