AI Research Intern: Self-Evolving Agents & Agentic Systems

TikTok USDS Joint Venture

San Jose (CA)

On-site

USD 68,000 - 97,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
Housing allowance
Paid holidays
Paid sick time

Job summary

TikTok USDS Joint Venture LLC seeks an exceptional Research Scientist Intern to pioneer the next generation of Enterprise Agentic Solutions and Self-Evolving AI Agents. You will work with internal datasets to design, evaluate, and deploy autonomous agents that offload routine workflows in engineering, DevOps, and product growth. The internship offers hands-on experience and opportunities to publish research.

Qualifications

  • Pursuing a PhD in CS or related technical discipline.
  • Expertise in AI Agents, Reinforcement Learning, or Self-Improving Systems.
  • Strong Python programming; proficiency in one of Rust/C++/Go.

Responsibilities

  • Conduct cutting-edge research in self-improving agents, evolutionary optimization, and multi-agent systems to enable autonomous code generation, system maintenance, and decision-making.
  • Formulate novel research ideas, design methodologies, conduct experiments, and lead papers for top-tier AI/ML conferences.
  • Investigate agentic self-evolution using proprietary, compliance-restricted datasets (USDS), solving data safety and memory optimization challenges.
  • Develop robust evaluation frameworks to measure operational impact of agentic solutions in engineering and growth environments.

Skills

Python
Rust
C++
Go

Education

PhD in Computer Science or related technical discipline

Tools

Rust
C++
Go

Job description

TikTok USDS Joint Venture LLC seeks an exceptional Research Scientist Intern to pioneer the next generation of Enterprise Agentic Solutions and Self-Evolving AI Agents. You will work with internal datasets to design, evaluate, and deploy autonomous agents that offload routine workflows in engineering, DevOps, and product growth. The internship offers hands-on experience and opportunities to publish research.
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