Applied Research

Prime Intellect is seeking an Applied Research professional to build environments, evaluations, agents, and post-training methods for quantitative research and systematic decision-making. The role involves turning workflows into tasks, running post-training experiments, and deploying solutions that connect hypotheses to deployed systems. This position requires deep expertise in reinforcement learning, agents, or post-training systems, with a focus on robust out-of-sample behavior and production feedback loops.