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

Job description

About the team The Seed Multimodal Interaction and World Model team is dedicated to developing models that have human-level multimodal understanding and interaction capabilities. The team is working to advance the exploration and development of multimodal assistant products. Responsibilities - Develop multimodal foundation models integrating vision, language, audio, and environment signals. - Design and optimize world models for reasoning, planning, and interaction. - Build training pipelines including data curation, alignment, and reinforcement learning. - Improve agent capabilities such as perception, memory, decision-making, and tool use. - Explore next-generation interaction paradigms between humans and intelligent systems. Minimum Qualifications: - Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline. - Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc. - Experience in multimodal learning, reinforcement learning, or agent systems. - Familiarity with large-scale model training or simulation environments. Preferred Qualifications: - Strong research track record in relevant areas. - Strong problem-solving and collaboration skills.