Research Engineer, RL Post-Training & Environments

Magic seeks a Research Engineer for the RL Research & Environments team to design data, evaluation, and environment systems that enhance model capabilities after pre-training. You will own the infrastructure and experiments linking product priorities to measurable capability gains, with focus on long-context challenges and rapid RL iteration at scale. This role can evolve into ownership of major capability areas or broader post-training strategy as Magic scales long-context model performance and