Student Researcher - (Seed Model - Vision) - 2027 Start

About the role

The Seed Vision team focuses on foundational models for visual generation, developing multimodal generative models, and carrying out leading research and application development to solve fundamental computer vision challenges in GenAI. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Established in 2023, the ByteDance Seed team is dedicated to pioneering new paths toward artificial general intelligence. We aspire to advance the frontier of intelligence to drive progress for both technology and society. With a long-term vision for the AI sector, the Seed team's research spans MLLM, GenMedia, AI for Science, and Robotics. We maintain a global presence with laboratories and career opportunities across China, Singapore, and the United States. To date, we have launched industry-leading general foundation models and cutting-edge multimodal capabilities. Our technology powers over 50 application scenarios — including Doubao, Jimeng, TRAE, Dola and Dreamnia — and serves enterprise customers through Volcano Engine and BytePlus. Third-party data shows that the Doubao App ranks first in user volume in the Chinese market, while Doubao foundation models lead the industry in average daily token consumption.

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.

Requirements

• Must be able to commit to an onboarding date by the end of the year.
• Must be able to establish authorization to work in the United States; the Company does not provide sponsorship or any immigration-related benefits for this position.

Qualifications

• 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.