Agent Evaluation & Evolution Machine Learning Engineer Intern (AML-Ark-US) - 2027 Summer

Public source summary from intern-list.com / Jobright.

ByteDance is a technology company developing products and platforms that inspire creativity and enrich life. The Applied Machine Learning Ark team is seeking an intern to design evaluation systems and benchmarks for LLM-based agents, analyze execution traces and user feedback, and help bring agent-improvement methods into production.

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, etc 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

Qualifications: Currently pursuing a Bachelor'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 Publications at top-tier ML/NLP venues (e.g., NeurIPS, ICML, ICLR, ACL etc.), especially in agent learning, self-improving/self-evolving/RSI, or agent evaluation Experience with evaluation methodology: metric design, model-based judging, or annotation and statistical analysis, etc Familiarity with LLM post-training, reasoning and planning methods, or continual learning Experience with feedback-driven optimization loops, or with large-scale log and trace analysis

Benefits: Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

Internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.