Student Researcher; Multimodal Interaction and Model - Seed BS​/MS

Position: Student Researcher (Multimodal Interaction and World Model - Seed) - 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 - Support research and development of foundation models and systems.

- Experiment with model improvements and evaluation methods.

- Implement algorithms, models, or system components.

- Collaborate with team members on research and engineering tasks.

Minimum Qualifications:

- Currently pursuing a Bachelor's or Master's degree in computer science, mathematics, engineering, or a related field.

- Strong coding skills and understanding of data structures and algorithms, proficient in Python or C/C++.

- Experience with machine learning or related areas through coursework, projects, or internships.

Preferred Qualifications:

- Demonstrated research track record with publications in conferences related to multimodal learning, machine learning, or artificial intelligence.

- Strong problem-solving and communication skills.