Ai Lab - Llm Applied Evaluation And Benchmark Intern
Cummins
Beijing, China
100% onsite
Experience with large language models
Familiarity with software testing methodologies
Strong analytical and logical thinking skills
The Cummins AI Lab is seeking undergraduate or graduate students to participate in the evaluation and benchmarking of Large Language Model applications
Job Summary
The Cummins AI Lab is seeking undergraduate or graduate students to participate in the evaluation and benchmarking of Large Language Model applications.
The role focuses on testing, analyzing, and improving LLM-based applications such as Chatbot and ChatBI systems.
Interns will design evaluation frameworks, build benchmarking datasets, and analyze model behavior to provide actionable insights.
Matching Summary
The Cummins AI Lab is seeking undergraduate or graduate students to participate in the evaluation and benchmarking of Large Language Model applications.
Skills & Requirements
Must-have
Experience with Large Language Models
Familiarity with software testing methodologies
Strong analytical and logical thinking skills
Nice-to-have
Familiarity with AI frameworks/tools
Experience with SQL or data analysis
Good learning ability and problem-solving skills
Key Requirements
Undergraduate or graduate student in Computer Science or related disciplines
Familiarity with Python or other programming languages
Understanding of data privacy and desensitization techniques