Student Researcher (AI Foundation Models Infrastructure – Seed Infra) – 2026 Start

About the team<br/>The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models.<br/><br/>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.<br/><br/>Applications will be reviewed on a rolling basis - we encourage you to apply early.<br/><br/>Responsibilities<br/>- As an Infrastructure Intern, you may work on one or more of the following areas:<br/>- Assist in building and optimizing large-scale distributed training systems (e.g., data/model parallelism, memory efficiency, reliability)<br/>- Support the development and improvement of reinforcement learning training pipelines and post-training systems<br/>- Improve inference performance, including latency, throughput, and system stability<br/>- Contribute to compiler or runtime optimizations for GPU and other accelerators<br/>- Conduct performance analysis, profiling, benchmarking, and bottleneck identification<br/>- Develop internal tools and automation to improve infrastructure efficiency and developer productivity<br/>- Collaborate with researchers and engineers to translate model requirements into scalable system solutions<br/><br/> annually.<br/>