Research Engineer Intern, Applied RL

Role description You will be working with one of our Research and Development teams that applies state-of-the art reinforcement learning methods to our in-house product DeepPack, a real-world application of the bin-packing problem. You have the choice to work on research as well as RL engineering focused projects, on a wide range of topics. You will follow the latest developments in ML/RL to identify and harness the approaches best suited to the team’s problems, and leverage your technical, analytical, and research skills to develop and improve our cutting edge ML/RL algorithms. Internship duration: 6 months