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

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.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.

Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.

Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.

Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

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

• Individuals who are completing or have recently completed a BS degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
• 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

• Individuals who are completing or have recently completed a MS degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
• Demonstrated research track record with publications in conferences related to multimodal learning, machine learning, or artificial intelligence.
• Strong problem-solving and communication skills.

As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship or any immigration-related benefits.