MS in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics, or a related technical field (Advanced degree is a plus) Experience evaluating computer vision algorithms such as object detection, classification, tracking, segmentation, pose estimation, or hand tracking. You will investigate model failures, identify recurring patterns, develop failure taxonomies, and determine whether issues are driven by data, labeling, algorithm limitations, environmental conditions, or other system-level factors.