Algorithms, C Programming Language, C++ Programming Language, Computer Science, Data Structures, Mathematics, Memory Hardware, Multimodal Interaction, Onboarding, Problem Solving Skills, Product Development, Python Programming/Scripting Language, Reinforcement Learning, Scientific Research, Simulation, Team Player
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 PhD 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.
- 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.
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Beijing ByteDance Technology Co Ltd