Build systems that transform powerful pre-trained models into aligned and general agents. Drive research and engineering initiatives that push the frontier of post-training, from data curation to large-scale optimization. Develop data generation pipelines, reward models, reinforcement learning algorithms, and inference-time scaling techniques. Collaborate across pre-training and post-training teams to deliver step-function gains in model capability. Contribute to shaping our understanding of how large models learn to reason, follow instructions, and improve through reinforcement learning.