Role OverviewJoin the TikTok General Architecture team as an AI Engineer Intern for a 12-week summer internship in 2027. The team sits between business and infrastructure, embracing AI, building advanced business architecture infrastructure, establishing public trust and compliance, focusing on resource management and cost optimization, user experience and stability, improving engineering quality and R&D efficiency. You will gain hands-on experience, industry exposure, and opportunities to apply your knowledge to real-world challenges while building a strong foundation for personal and professional growth.
What You Will Do
As an AI Engineer Intern, you will explore and implement AI-Native Engineering Infrastructure, leveraging AI to drive automated maintenance, intelligent refactoring, precise diagnosis/repair, CI/CD optimization, and knowledge management across large codebases. You will also establish and continuously improve evaluation standards and benchmarking for AI-assisted R&D efficiency, measuring productivity, system stability, and code correctness.
Why It Might Be a Fit
We are looking for talented individuals who can commit to working for 12 weeks during the summer of 2027. You should have hands-on software development experience, solid proficiency in at least one mainstream language, and strong software engineering fundamentals. You should also have a basic understanding of system design, build, dependency management, CI/CD, automation, or deployment, and be interested in engineering/infrastructure work.
Requirements
- Currently pursuing an Undergraduate/Master degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Able to commit to working for 12 weeks during the Summer of 2027.
- Hands-on software development experience (coursework, internship, open source, or personal projects); able to independently implement, debug, and deliver features.
- Solid proficiency in at least one mainstream language (e.g., TypeScript/JavaScript, Python, Go, Java, C/C++);
- End-to-end delivery mindset: hands-on practice in at least two of client/application, server, and data layers, with basic understanding of the rest.
- Strong software engineering fundamentals: modularity, abstraction, interface design, testing, and maintainability; able to write clear, evolvable code in collaboration.
- Basic system design ability: decompose and model small-to-medium systems; articulate module boundaries, data flow, critical paths, and key trade-offs (performance, complexity, scalability, etc.).
Benefits
- Hands-on experience
- Industry exposure
- Opportunities to apply knowledge to real-world challenges
- Strong foundation for personal and professional growth
- Participation in social events, learning programs, and development workshops alongside industry professionals
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