Research Engineer Intern, Agentic Systems & AI Infrastructure (TikTok-Generalized Arch) - 2027 Summer

What you'll do

• Research agent planning, reasoning, memory, tool use, and multi-agent coordination; improve agents through post-training, reinforcement learning, and execution feedback.
• Build scalable infrastructure for agent orchestration, evaluation, observability, and reliable execution across codebases and production environments.
• Evaluate methods in real-world engineering workflows and translate research into production systems, measuring impact and collaborating across teams.

What they ask for

• Currently pursuing an undergraduate or master's degree in Computer Science or a related field, with relevant work in a related area.
• Demonstrated research or engineering experience in AI agents or a closely related area.
• Strong understanding of one or more relevant areas, such as agent planning, reinforcement learning, model post-training, or agent evaluation.
• Strong programming and systems-building ability in at least one of Python, C++, Go, or Java.

Nice to have

• Research excellence shown through publications, open-source work, deployed systems, or other significant contributions.
• Experience building or deploying LLM agents, AI developer tools, agent platforms, or scalable evaluation systems.

Tools

Python, C++, Go, Java

AI focus

Research, develop, evaluate, and deploy long-horizon agents for software engineering and operations, including agent planning, tool use, reinforcement learning, execution feedback, and infrastructure.