A Learning Control developer designs, develops, and implements machine learning algorithms to control systems. They work with large datasets to train models that can predict and adjust the behavior of these systems, optimizing their performance. They may work with robotics, automation systems, or any system that can benefit from adaptive control. They also conduct tests and simulations to validate the effectiveness of their models, continually refining them based on the results. They collaborate with other researchers, engineers, and stakeholders, contributing their expertise in machine learning to achieve project goals. They need to stay updated with the latest developments in machine learning and control theory.