Student Researcher (Multimodal Interaction and World Model - Seed) - 2027 Start

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 - 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.