LLM Systems Intern: Build & Improve AI Agents

Pangle; San Jose, Northern (CA, KY); Hybrid; USD 27,552,000 - 41,328,000; Part time

Job summary

ByteDance in San Jose, California, invites interns to join the Applied Machine Learning Ark team. You will help design and operate MaaS platforms, work on end-to-end LLM systems, and analyze large-scale logs for insights and improvements.

The internship offers hands-on experience, industry exposure, and opportunities to apply knowledge to real-world challenges while building a foundation for growth. Apply early and include availability dates.

Qualifications

• Currently pursuing a Bachelor's/ Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Solid foundation in machine learning and deep learning.
• Hands-on experience with LLM-based systems (e.g., agents, tool calling, retrieval, multi-agent systems) through research, internships, or projects.
• Strong Python skills and experience with a mainstream ML or agent evaluation framework.
• Demonstrated research or engineering ability through publications, substantial projects, internships, or open-source work.

Responsibilities

• Design evaluation systems for LLM-based agents, covering task success, tool use, reasoning quality, and reliability.
• Build benchmarks and automated judging pipelines, combining rule-based checks, model-based judging, and human review.
• Analyze agent execution traces and user feedback to identify failure patterns and turn them into concrete system improvements.
• Support the closed loop from experience to capability, and work with research, platform, and product teams to bring methods into production.

Skills

LLM- based systems

Python programming

Research ability

Engineering implementation

Education

Bachelor's or Master's in CS/AI/ML/Data Science

Job description

ByteDance in San Jose, California, invites interns to join the Applied Machine Learning Ark team. You will help design and operate MaaS platforms, work on end-to-end LLM systems, and analyze large-scale logs for insights and improvements.

The internship offers hands-on experience, industry exposure, and opportunities to apply knowledge to real-world challenges while building a foundation for growth. Apply early and include availability dates.