New opportunity

Research Scientist, World Models

Basis Research Institute · New York; Cambridge, United States

About this role

Lead independent and collaborative research to develop methods and algorithms for world modeling, abstraction, and reasoning in AI systems, and apply them to benchmarks such as AutumnBench, physical and simulated robotics environments, and the Abstract Reasoning Corpus (ARC). The role involves disseminating findings through publications, mentoring junior team members, and developing open-source software.

Skills for this role

Program synthesisProbabilistic programmingMachine learningAI reasoning systemsCognitive modelingNeural methodsSymbolic methodsKnowledge representationAbstractionReasoningActive learningReinforcement learningRoboticsOpen-source software developmentScientific researchAcademic publishing