Research Intern

About the Team IaaS-US team focuses on the research and development of ByteDance Infrastructure as a Service (IaaS) AI Infra, including training infra, inference infra and AI Agent infra. The IaaS division focuses on building large-scale and highly available cloud & AI infrastructure, which supports both Bytedance public cloud products and its corporate products such as Douyin and Tiktok. We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance. PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Responsibilities: - Explore and develop key technologies for our AI Infra stack, including AI training and inference platforms, AI Agent infrastructure, etc. - Build prototypes to verify the functionality and performance of key components or innovations. - Showcase our research findings and products through academic publications. Minimum Qualifications: - Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline. - Familiar with Go and Python development in Linux environments. - Experience in at least one of the following areas: LLM training, LLM inference and AI Agent. - Ability to work independently and complete projects from beginning to end and in a timely manner. - Good communication and teamwork skills to clearly communicate technical concepts with other teammates. Preferred Qualifications: - Code contributions to open source communities like Pytorch, vLLM or SGlang. - Publications in relevant computer science conferences such as OSDI or MLSYS.