Research Engineer Intern (Agentic Systems & AI Infrastructure - TikTok-Generalized Arch) - 2027 Start (PhD)
Core
Research and deploy reliable long-horizon AI agents that reason over large codebases and complete consequential engineering work at TikTok scale.
Role type
PhD Research Engineer (Agentic Systems & AI Infrastructure)
Builds
AI-native engineering infrastructure, agent platforms, and production systems for software design and operations
Domain
Artificial Intelligence, Software Engineering, Distributed Systems
Deliverable
production ML models
Required skills
AI agent planning and reasoning, large language model reasoning, reinforcement learning, program synthesis, model post-training, distributed systems, systems programming (Python/C++/Go/Java), experimental design
Preferred skills
Influential publications in top venues (NeurIPS, ICML, etc.), experience deploying LLM agents in large-scale environments, experience with CI/CD and production operations
Technologies
Python, C++, Go, Java, LLMs, distributed runtimes
Responsibilities
Develop frontier agent methods, evaluate them rigorously, and bring them into production; formulate ambiguous real-world problems and design experiments; collaborate across research, infrastructure, and product teams
Seniority
PhD Intern, hands-on research and engineering
