Lead multiple technical programs developing reinforcement learning environments, training tasks, evaluation infrastructure, automated rewards, and verification systems for frontier AI models. Translate research and customer requirements into roadmaps and scalable delivery workflows. Manage distributed technical contributors, cybersecurity and agent-safety evaluations, and high-volume task production while coordinating Research, Engineering, Product, Sales, customers, and external experts.

Conduct hands-on research on frontier AI models, reasoning, agents, and multimodal systems. Design benchmarks, evaluation frameworks, and experimental pipelines; rapidly execute research cycles from hypotheses to prototypes and validated findings. Identify model limitations and research opportunities, translate customer challenges into measurable outcomes, and collaborate with engineering and product teams. The role emphasizes LLMs, foundation models, AI security, benchmarking, and evaluation.