Drimva

TikTok

Research Engineer Intern (Agentic Systems & AI Infrastructure - TikTok-Generalized Arch) - 2027 Start (PhD)

San Jose, California · Internship · Posted Oct 28, 2026

Experience
No specific number of years stated.
Education
Currently pursuing or recently completed a PhD in Computer Science or a related field.
Visa sponsorship
Candidates must be able to establish authorization to work in the United States. The company does not provide sponsorship or immigration-related benefits.

About the job

Research and build reliable long-horizon AI agents and engineering infrastructure that perform consequential software engineering tasks across TikTok’s distributed production systems.

What you'll do

  • Develop and evaluate agent methods for reasoning over codebases and using complex tools and environments.
  • Build robust implementations and conduct rigorous experiments, analyzing results and iterating on evidence.
  • Help bring agent research into production to improve engineering productivity, software quality, and operational effectiveness.

What they ask for

  • Currently pursuing or recently completed a PhD in Computer Science or a related field, with relevant work in a stated area.
  • Research or engineering experience in AI agents or a closely related area.
  • Understanding of at least one stated area, such as agent planning and reasoning, reinforcement learning, or agent evaluation.
  • Programming and systems-building ability in at least one of Python, C++, Go, or Java.

Nice to have

  • Research contributions such as influential publications, open-source work, or deployed systems; relevant venues are listed in the posting.
  • Experience building or deploying LLM agents, AI developer tools, or agent platforms in complex or large-scale environments.

Tools

Python, C++, Go, Java, LLM

AI focus

Research, evaluate, and deploy reliable long-horizon agents for software engineering, including agent reasoning, tool use, and production infrastructure.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)