Research Scientist Graduate (Seed Model - Vision) - 2027 Start (PhD)

About the team

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. Successful candidates must be able to commit to an onboarding date by the end of the year. 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

• Develop and scale vision foundation models across image and video modalities.
• Design data pipelines, pre-training strategies, and post-training methods for vision tasks.
• Improve core capabilities such as perception, reasoning, and multimodal understanding.
• Optimize model architectures, training efficiency, and evaluation frameworks.
• Explore real-world applications of vision models in multimodal systems.

Qualifications

Minimum Qualifications: Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline. Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc. Experience with computer vision, multimodal learning, or large-scale model training. Strong understanding of deep learning architectures and training methodologies.

Preferred Qualifications: Proven research experience through impactful papers or projects. Strong problem-solving and communication skills.

Pay

The base salary range for this position in the selected city is $254400 - $480000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits

Employees have day one access