PhD Autonomy Engineer Intern - Planning & Controls (Reinforcement Learning)

This role involves designing autonomous systems using reinforcement learning. Daily tasks include implementing algorithms and analyzing performance. A strong background in reinforcement learning and software development is required. Experience with Python and C++ is beneficial. The role offers a chance to work on cutting-edge technology. It provides a dynamic work environment and opportunities for growth.