The rise of machine learning in recent times has remarkably transformed science and society. The goal of machine learning is to get computers to act without being explicitly programmed. Machine learning with deep reinforcement learning (RL) was recently recognized as a powerful tool to engineer dynamics in quantum system. Also, recently there has been some interest to exploit and leverage the limited available quantum resources for performing classically challenging tasks with noisy intermediate-scale quantum (NISQ) computers. Here, we discuss some of our recent work on the applications of machine learning to quantum systems.