Responsibilities: • Design and implement deep learning architectures, AI agent pipelines, and computer vision algorithms to achieve project goals (33%) • Conduct full stack development efforts including UI/UX, code maintenance, and deployment pipelines (33%) • Evaluate and refine AI models using annotated data and real-world image datasets (10%) • Curate multimodal real and synthetic datasets, including photogrammetry, LiDAR, and depth cameras, to build scalable analysis pipelines (10%) • Conduct data collection for validation of developed approaches (may involve occasional travel) (2%) • Collaborate with graduate and undergraduate student researchers (5%) • Perform other duties as assigned (7%). Preferred: • Master's degree in computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field • Experience with photogrammetry, LiDAR alignment, or large-scale 3D data, and deep learning-based 3D vision and graphics • Familiarity with image annotation tools and dataset iteration workflows • Contributions to open-source, research publications, or production ML systems.