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

About the Team

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. 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.

About the 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. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.

Responsibilities

• 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.
• 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.
• 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.

Minimum Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or related technical discipline.
• Proficient in at least one back-end programming language, Python/Go/C/C++/Rust among others.
• Familiar with mainstream SQL and NoSQL database working principles, with database querying and data structure optimization skills.
• Hands-on experience integrating LLMs/AI APIs into backend services (e.g., AI-assisted automation endpoints, RAG pipelines, or tool-using agents).
• Have curiosity, motivation, and a strong thirst for knowledge, and be keen on cutting-edge technologies in industry.

Preferred Qualifications

• Basic understanding of network knowledge, like OSI model, TCP/IP, etc.
• Highly interested in analyzing, troubleshooting and automation related systems.
• Experience applying AI to these areas (e.g., AI-assisted root cause analysis, incident summarization, automated remediation suggestions, or natural-language interfaces for network/ops tooling).
• Familiarity with common AI engineering practices such as prompt/version management, LLM observability, offline/online evaluation, and integrating AI assistants into CI/CD or developer productivity workflows.

Pay

The hourly rate range for this position in the selected city is $45-$45.

Benefits

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