Research Scientist, World Models
Basis Research Institute · Cambridge, MA · 7 mo ago
On-siteOTHR$120k–$180k/yrFull-time
About the role
Research scientists lead Basis’ efforts to develop a deeper understanding of the conceptual, mathematical, and computational principles of intelligence. They are responsible for:
- Developing new methods and algorithms for modeling, abstraction, and reasoning in AI systems.
- Applying these methods to concrete challenges such as AutumnBench, physical and simulated robotics environments, the Abstract Reasoning Corpus (ARC), and other domains.
- Disseminating research findings through academic publications and presentations at leading conferences.
- Mentorship to junior team members and contributing to the scientific discourse through seminars, workshops, and collaborative projects.
- Developing and maintaining open-source software.
Responsibilities
- Conduct independent and collaborative research focused on the MARA project.
- Develop new methods and algorithms for modeling, abstraction, and reasoning in AI systems.
- Apply these methods to concrete challenges such as AutumnBench, physical and simulated robotics environments, the Abstract Reasoning Corpus (ARC), and other domains.
- Disseminate research findings through academic publications and presentations at leading conferences.
- Provide mentorship to junior team members and contribute to the scientific discourse through seminars, workshops, and collaborative projects.
- Develop and maintain open-source software.
Qualifications
- Holding a PhD in computer science, artificial intelligence, machine learning, cognitive science, or related fields.
- A strong background in areas such as program synthesis, probabilistic programming, machine learning, AI reasoning systems, and cognitive modeling.
- Experience in developing AI systems that combine neural and symbolic methods is highly valued.
- An interest in foundational AI research and its applications to modeling, abstraction, and reasoning.
- A demonstrated track record in scientific research, evidenced through publications, technical reports, or impactful software projects.
- An excitement about solving real-world problems and having a positive societal impact.