AI Research Scientist- Reinforcement Learning and Multi-Agent Learning

As a research scientist on this team, you will conduct end-to-end research on open problems at the intersection of single/multi-agent RL, agent-based modeling, game theory and mechanism design. You will work on multiple research projects in collaboration with internal and external researchers and with applied engineering teams. You will be integral to all aspects of the research lifecycle such as formulating problems, generating hypotheses, developing new algorithms and models, conducting experiments, synthesizing results, gathering data, building prototypes and communicating the significance of your research. Your output will result in publications in AI/ML conferences and journals, high-impact business applications, open source software and patents.

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