Student Researcher - (Seed Model - AI Foundation Models Infrastructure) - 2026 Start

About the role

The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests. Applications will be reviewed on a rolling basis - we encourage you to apply early. 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

• Assist in building and optimizing large-scale distributed training systems (e.g., data/model parallelism, memory efficiency, reliability)
• Support the development and improvement of reinforcement learning training pipelines and post-training systems
• Improve inference performance, including latency, throughput, and system stability
• Contribute to compiler or runtime optimizations for GPU and other accelerators
• Conduct performance analysis, profiling, benchmarking, and bottleneck identification
• Develop internal tools and automation to improve infrastructure efficiency and developer productivity
• Collaborate with researchers and engineers to translate model requirements into scalable system solutions

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related technical fields
• Proficiency in at least one programming language such as Python or C++
• Familiarity with machine learning frameworks such as PyTorch or similar tools
• Strong analytical and problem-solving skills
• Ability to work collaboratively in a fast-paced technical environment
• Interest in pursuing long-term work in ML systems or AI infrastructure

Pay

The hourly rate range for this position is $52.25‑$52.25.

Benefits

• Day‑one access to health insurance, life insurance, and wellbeing benefits.
• 10 paid holidays per year.
• Paid sick time (56 hours if hired in the first half of the year, 40 hours if hired in the second half).
• Eligibility for housing allowance for interns not working 100% remote.