Controllable Video Generation Researcher

This role involves designing multimodal controllable generation frameworks for game development, focusing on inputs like keyboard, controller, trajectory, and voice. The position requires researching high-fidelity generation under sparse control signals and optimizing controllable generation alongside Reinforcement Learning. Candidates will collaborate with engine and agent teams to define standardized interfaces for controllable signals in next-generation gaming experiences.