Research Scientist, Reinforcement Learning

A Research Scientist in Reinforcement Learning at Basis conducts independent and collaborative research focused on developing foundational principles and algorithms for AI systems within the MARA project. The role entails advancing state-of-the-art methods in reinforcement learning, planning, and decision-making to solve real-world challenges, such as robotics benchmarks and model-based learning. Responsibilities also include mentorship, publication of findings, and development of open-source software, all while fostering collaboration in a research-driven environment. Candidates should have a PhD in relevant fields and a strong background in reinforcement learning and AI.