Research Scientist Graduate (Seed Model - Multimodal Interaction & World Model) - 2027 Start (PhD)

What you'll do

• Develop models integrating vision, language, audio, and environment signals; design and optimize world models.
• Build training pipelines for data curation, alignment, and reinforcement learning; improve agent capabilities including perception, memory, decision-making, and tool use.
• Explore new interaction paradigms between humans and intelligent systems.

What they ask for

• Completing or recently completed a PhD in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
• Excellent coding, data structures, and fundamental algorithm skills; proficiency in C/C++ or Python, etc.
• Experience in multimodal learning, reinforcement learning, or agent systems.
• Familiarity with large-scale model training or simulation environments.

Nice to have

• Strong research track record in relevant areas.
• Strong problem-solving and collaboration skills.

Tools

C/C++, Python

AI focus

Develop multimodal foundation models, world models, and agent capabilities; work includes reinforcement learning, model training, and human–AI interaction.