Algorithms, Artificial Intelligence (AI), C Programming Language, C++ Programming Language, Computer Programming, Computer Science, Conferences, Data Structures, Machine Learning, Mathematics, Modeling Languages, Multimodal Interaction, Problem Solving Skills, Product Development, Prototyping, Publications, Python Programming/Scripting Language, Research Skills, 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
- Conduct research on multimodal foundation models and related systems.
- Explore methods to improve model capabilities across modalities, including areas such as vision-language modeling, world modeling, and representation learning.
- Design and prototype algorithms, models, or system components.
- Collaborate with the team to advance research directions.
Minimum Qualifications
- Currently pursuing a PhD in computer science, mathematics, engineering, or a related field.
- Strong programming skills and solid foundation in algorithms and data structures, proficient in Python or C/C++.
- Demonstrated research track record with publications in conferences related to multimodal learning, machine learning, or artificial intelligence.
Preferred Qualifications
- Experience in multimodal modeling, vision-language modeling, world modeling, simulation, or 3D representations. Experience with latent space modeling or structured representations is a plus.
- Strong problem-solving ability and experience conducting independent research.
- Ability to collaborate effectively in a research environment.
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Beijing ByteDance Technology Co Ltd