Student Researcher (Seed – Multimodal Interaction & World Model - RL Focused) – 2026 Start (PhD)

The Seed Multimodal Interaction and World Model team is dedicated to developing models that boast human-level multimodal understanding and interaction capabilities. The team also aspires to advance the exploration and development of multimodal assistant products.

• Design and implement reinforcement learning (RL) training systems for large-scale multimodal foundation models
• Develop unified modeling frameworks that integrate video, audio, and language, with a focus on visual latent reasoning
• Explore RL-based approaches to bridge understanding and generation for multimodal visual reasoning
• Collaborate with researchers to evaluate models on tasks involving world modeling, reasoning, and instruction-conditioned generation

• Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline
• Publications in accredited venues, such as CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, or other leading conferences in AI and ML
• Strong research background in at least one of the following: reinforcement learning, multimodal learning, video understanding, or vision-language modeling

• Experience with reinforcement learning in multimodal or interactive environments
• Familiarity with video generation or diffusion-based generative models
• Experience with large-scale model training (e.g., distributed training, curriculum learning, or memory-augmented transformers)
• Solid programming and engineering skills, with experience building training or evaluation pipelines for ML models