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

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

Location:

San Jose

Team:
Technology

Employment Type:

Intern

Job Code: A152893

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 include:

• 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/Multi Modal Machine Learning, and have opportunities for applying them to solve practical problems in the industry.

Minimum 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 Tensor Flow, 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, Multi Modal 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 Multi Modal Machine Learning, Computer Vision, or Machine Learning are preferred.

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.

For Pay Transparency Compensation Description (Hourly) - Campus Intern

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

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and 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.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
• Exercising sound judgment.

Established in 2023, the Byte Dance 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, Gen Media, 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…