Member of Technical Staff - RL Algorithms

RL has become the de-facto method of post-training LLMs. We are limited by the sample efficiency of the current policy gradient algorithms in use today, and are looking for a talented researcher to weave together pre-LLM and post-LLM approaches to learning from experience. RESPONSIBILITIES - Develop new RL algorithms for post-training language models. - Adapt ideas from pre-LLM reinforcement learning, such as…

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