Video Generation Content Understanding and Feedback Researcher
Core
Research model capabilities for understanding generated video content, implementing state tracking, and exploring unified generation-understanding architectures for real-time interactive generation in game scenarios.
Role type
Senior Research Scientist (Video Generation & Understanding)
Builds
Proprietary technical roadmaps and evaluation systems for controllable interactive video generation pipelines.
Domain
AI Research, Video Generation, Game AI
Deliverable
production ML models
Required skills
Video understanding, Video prediction, Reinforcement learning, Multimodal generation and understanding, Diffusion models, Model training pipeline design, Python, PyTorch
Preferred skills
Game AI, Simulation environments, Closed-loop systems, Top-tier conference publications
Technologies
PyTorch, Diffusion models
Responsibilities
Research model ability to parse semantics, objects, relationships, and spatial structures in generated content; Implement state tracking and consistency modeling; Explore unified generation-understanding model architectures; Research causal consistency control and physical constraints; Collaborate with Agent/RL teams for end-to-end closed loops; Validate controllable interactive capabilities in game scenarios; Track industry work and formulate roadmaps.
