Student Researcher (Seed - LLM - Model) - 2026 Start (PhD)

About Doubao (Seed)

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.

About the Role

The Seed-LLM-Model team is dedicated to foundational algorithm research for LLM models, focusing on issues such as model architecture, optimization, and stability. This ensures the performance and efficiency of large model training and inference, providing a foundation for downstream tasks.

Responsibilities

• Participate in the research and development of cutting-edge algorithms with the possibility to publishing top international papers, and applying for patents.
• Conduct in-depth research for cutting-edge technologies in the fields of large language models/MultiModal Machine Learning, and have opportunities for applying them to solve practical problems in the industry.

Qualifications

• Currently pursuing a PhD in artificial intelligence, computer science, automation, mathematics, or a related technical discipline.
• Solid foundation in data structure and algorithm design, proficient in Python/C++, proficient in deep learning frameworks such as PyTorch and TensorFlow, proficient in distributed large language model training framework such as Megatron/FSDP/Deepspeed.
• Good reading and writing skills and a solid foundation in mathematics.
• Strong sense of responsibility, proactive, with good communication and teamwork skills.
• Must be able to commit to a 12-week full-time work period during Summer or Fall 2026.

Preferred Qualifications

• Pre-trained basic technologies, including efficient training and encapsulated deployment services, NLP, CV, video, MultiModal Machine Learning and other related pre-trained models and their downstream applications are preferred.
• Candidates who have published papers in accredited academic conferences, and have achieved excellent results in competitions in the fields of MultiModal Machine Learning, Computer Vision, or Machine Learning are preferred.

Pay

The hourly rate range for this position in the selected city is $85-$85.

Benefits

• Day one access to health insurance, life insurance, wellbeing benefits and more.
• 10 paid holidays per year.
• Paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
• Interns who are not working 100% remote may also be eligible for housing allowance.