AI Network Automation Engineer intern (Global Physical Network Infra) - 2027 Summer

About the Team<br/>ByteDance Networking brings together innovative ideas and technologies from network architecture, software-defined networking (SDN), network virtualization, switch software and hardware co-design, and high-speed networking, to create hyperscale data-center networking solutions that power several of the most popular apps of the world such as Douyin and TikTok which serve hundreds of millions of users around the globe. <br/><br/>ByteDance Networking is responsible for designing, building, and operating the global, intelligent network infrastructure to meet the requirements of high availability, scalability, and high-performance. By joining this team, you will gain marketable software development and/or network operation experience in data center networking at massive scale. <br/><br/>We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.<br/>Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.<br/>Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.<br/>Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.<br/><br/>Responsibilities:<br/>1. Develop software and tools to enhance automation and improve efficiency in IDC network implementation and operations, including building AI-enabled automation assistants (e.g., LLM-powered runbook execution, chat-driven tooling, and intelligent ticket/work-order automation) with appropriate safety controls and auditability.<br/><br/>2. Analyze network data and create software solutions by applying principles and techniques from computer science, engineering, and mathematical analysis, and leverage AI-assisted analysis (e.g., anomaly summarization, incident triage support, log/telemetry interpretation) by integrating LLMs or AI services into data pipelines and operator workflows.<br/><br/>3. Work closely with software development teams to plan, design and iterate network platforms, including designing and iterating AI features such as prompt flows, tool/function-calling integrations, evaluation/guardrail strategies, and feedback loops to continuously improve automation accuracy and operator experience.<br/><br/> annually.<br/>