Research Scientist, Reinforcement Learning
Basis(2 months ago)
About this role
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.
Required Skills
- Reinforcement Learning
- Planning
- MDPs
- Optimal Control
- Decision Making
- AI Systems
- Neural Methods
- Symbolic Methods
- Research Publications
- Technical Reports
+5 more
Qualifications
- PhD in computer science, artificial intelligence, machine learning, cognitive science, or related fields
About Basis
www.basis.aiBasis is an innovative AI research organization dedicated to developing intelligence that can address complex scientific and societal challenges. The company's mission revolves around understanding and building advanced technological solutions that enhance our capability to solve intractable problems. Basis is focused on creating a universal reasoning engine and is actively engaged in both core AI technologies and tackling significant challenges through its research and initiatives.
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