Computer Vision Engineer - Advanced Development & Planning

IntroductionDevelop proof-of-concept (POC) computer vision systems for intelligent mobility and in-vehicle applications. The role focuses on rapidly evaluating, implementing, and deploying state-of-the-art computer vision and AI technologies on vehicle-grade edge computing platforms, bridging cutting-edge research and real-world intelligent mobility systems.Required Skills & QualificationsMaster's degree or higher in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.Strong background in Computer Vision and Machine Learning.Hands-on experience with PyTorch, TensorFlow, OpenCV, or similar frameworks.Experience implementing and training deep learning models including CNNs, Transformers, Vision Transformers (ViT), Vision-Language Models (VLMs), and multimodal architectures.Strong programming skills in Python and C++.Prior work experience at client or in client's Industry.Applicants must be able to work directly for Artech on W2.Preferred Skills & QualificationsExperience with Foundation Models, Large Vision Models, and Multimodal AI systems.Experience with CLIP, SAM (Segment Anything), DINOv2, BEV-based perception models, or similar state-of-the-art vision technologies.Experience with Generative AI and synthetic data generation.Day-to-Day ResponsibilitiesDevelop proof-of-concept systems using state-of-the-art AI and computer vision technologies.Design and implement computer vision algorithms for object detection, tracking, semantic/instance segmentation, 3D scene understanding, visual localization, mapping, driver and occupant monitoring, and behavior recognition.Build solutions using modern AI approaches including Vision Transformers (ViT), Vision-Language Models (VLMs), Multimodal AI, Foundation Models, Self-Supervised Learning, and Generative AI.For immediate consideration please click APPLY to begin the screening process with Alex.