Research Scientist in Multimodal Interaction and Model - Seed - Graduates BS​/MS

Position: Research Scientist in Multimodal Interaction and World Model - Seed - Graduates - 2027 Start (BS/MS)
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:

- Currently pursuing a Bachelor's or Master's degree in computer science, mathematics, engineering, or a related field, with an expected graduation date in 2027 and the ability to commit to an onboarding date by the end of 2027.

- Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc.

- Demonstrated interest or project experience in relevant areas.

Preferred Qualifications:

- Experience in multimodal learning, reinforcement learning, or agent systems through internships is preferred.

- Strong problem-solving and collaboration skills.