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Prime Intellect is seeking a researcher to help develop algorithms and systems for training open models with reinforcement learning. You will work across RL algorithms, scaling research, and training frameworks aligned with your strengths.
Collaborate with data and evaluation researchers to shape model learning, design controlled experiments, and debug model or system behavior. Flexible remote or in-person work in San Francisco; visa sponsorship available.
Prime Intellect builds the open superintelligence stack, offering a platform that unifies compute, training, and deployment for frontier AI teams. With $150M in funding and a mission-driven culture, they focus on open-source AI research and real infrastructure.