Strong candidates combine research judgment with hands-on engineering ability: they can identify an important modeling problem, translate it into concrete research and engineering milestones, run rigorous experiments, and work with engineering teams to turn successful results into interactive, reliable engine capabilities. Deep expertise in at least one of the following AI-for-graphics areas: 3D modeling, asset generation, or 3D representations; animation, motion generation, or character behavior; simulation, physical AI, or neural simulation; rendering or neural rendering; world models or video prediction; or graphics and game-engine workflows.