Senior Researcher, Multi-Modality
Core
Researching and deploying multimodal foundation models and agentic AI for gaming scenarios, focusing on understanding, post-training, and agent planning.
Role type
Senior IC multi-modality AI researcher
Builds
Multimodal large models (VLMs/MLLMs) and agentic AI solutions for in-game applications
Domain
Gaming + Multimodal AI
Deliverable
production ML models
Required skills
multimodal understanding, vision-language reasoning, LLM/VLM pre- and post-training, reinforcement learning, LLM-based agents, representation learning, experimental design, PyTorch/JAX implementation
Preferred skills
abstracting research from business scenarios, driving research to deployment, publishing at top-tier conferences
Technologies
PyTorch, JAX
Responsibilities
Pioneer research in multimodal understanding, post-training, reasoning, grounding, and agent planning; abstract and solve research problems from game business scenarios; advance multimodal large model capabilities; lead post-training methodologies (SFT, RLHF/RLAIF, reward modeling); design and execute end-to-end experiments; collaborate with engineers to deploy prototypes at scale; publish at top-tier conferences
Seniority
Senior, hands-on IC
