· Perform research to make reinforcement learning more applicable to real world problems.
· Provide research consultancy on applied projects: determine the scope
of the problem, the best place to apply machine learning, and evaluate different approaches.
· Interface with product teams to identify potential new problem areas for future projects.
· Integrate new fundamental research ideas into applied projects.
· Collaborate with Software Engineers to design and run experiments, including designing and evaluating new algorithms as well as implementing known algorithms.
· Report and present experimental results and research findings clearly
and efficiently, both internally and externally.