Member of Technical Staff (Research / Engineering)
Core
Building a superlearner using reinforcement learning algorithms to discover all knowledge from experience without human data, aiming to rediscover and transcend human inventions like language, science, and mathematics.
Role type
Research scientist / ML engineer (reinforcement learning)
Builds
A superlearning system capable of autonomous knowledge discovery
Domain
Artificial Intelligence / Reinforcement Learning / Superintelligence
Deliverable
production ML models
Required skills
reinforcement learning, algorithm design, autonomous learning systems
Preferred skills
none stated
Technologies
none stated
Responsibilities
developing reinforcement learning algorithms for autonomous knowledge discovery
Seniority
Individual Contributor
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