Research Engineer Intern (TikTok Generalized Arch) - 2027 Start (PhD)

TikTok Generalized Architecture team focuses on building scalable, reusable, and future-proof technical foundations that support a wide range of TikTok products and business scenarios. The team is responsible for designing and evolving core architecture, improving system performance and reliability, and enabling engineering efficiency through standardized platforms and infrastructure. By abstracting common capabilities and solving cross-domain technical challenges, the team helps accelerate product innovation while ensuring long-term scalability and robustness.

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).

Responsibilities：
- Design and implement algorithms for large-scale software engineering in the Agent era, including but not limited to AgentOps, DevOps, AIOps, and AI for Dev.
- Implement algorithm and optimization, with the capability to support large-scale services.
- Identify the requirements and optimization opportunities from related business scenarios, and continuously improve algorithms and systems.
- Publish high-quality papers at top-tier conferences.

Minimum Qualifications
- Currently pursuing a PhD in Computer Science or a related discipline.
- Multiple publications at top-tier conferences in relevant fields.
- Proficiency in AI, LLM, and machine learning algorithms; Experience in large-scale data analysis and R&D of related algorithms.
- Strong hands-on execution and communication skills.

Preferred Qualifications
- Experience of AI for code, logs, monitoring, on-call, etc, is a plus.