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[NAVER Cloud] Foundation Model Research Intern

[NAVER Cloud] Foundation Model Research Intern

*This is an off-campus position where you do not need to apply via Handshake - please make sure to read the details and apply according to the company's regulations. 

 

Job Description

This internship focuses on Foundation Model benchmarking, large-scale data analysis, and LLM performance evaluation. Interns will contribute to research on the relationship between model performance and large-scale datasets, while helping design automated evaluation systems and benchmarking frameworks for Foundation Models.

 

Responsibilities

  • Design and research benchmarks to analyze correlations between Foundation Model performance and large-scale datasets
  • Build benchmark creation frameworks and conduct evaluation automation research for Foundation Models
  • Analyze LLM-related data and conduct experiments involving model performance and training variables
  • Collaborate with cross-functional teams across model development, data, evaluation, and infrastructure

 

Qualifications

  • Currently enrolled in or graduated from an undergraduate program
  • Available to work full-time for approximately 3 months
  • Interest and/or experience in natural language processing (NLP), LLM data analysis, large-scale data processing, or prompt engineering
  • Strong Python programming and framework utilization skills
  • Experience using deep learning frameworks such as PyTorch, TensorFlow, or Transformers
  • Ability to read, understand, and implement recent AI/ML research papers

 

Preferred Qualifications

  • Major in AI/ML-related fields (e.g., Computer Science, Industrial Engineering, Statistics)
  • Research publication experience at major AI/ML conferences
  • Strong performance in AI/ML competitions (e.g., Kaggle)
  • Experience actively using AI coding agents (Claude Code, Codex, Cursor, etc.) to improve productivity and research quality

 

How to Apply

  • Hiring Process: Document Screening → Coding Test → Interview → Internship Admission
  • Work Availability Requirement: Full-time participation during internship required
  • Additional interview details will be provided to selected applicants individually
  • Recruitment procedures may change depending on hiring needs and evaluation outcomes

 

Earlier you apply, the better.

** Using ChatGPT (and/or other AI software) to write your job application will automatically disqualify you from the application process, as we expect all applicants to provide original and authentic content that reflects their own skills, experiences, and goals. The CIDC has access to websites that track AI written language and will use them for each application. **

Anybody who needs help with a resume & cover letter, a mock interview schedule with Hailey Cho for this position.  https://calendly.com/haileycidc