KRAFTON

[AI Research Div.] Research Scientist - Specialized Model (2년 이상 / 인턴)

KRAFTON · Seoul; Seoul, South Korea

Posted 3 days ago

or apply directly on KRAFTON's site. We never take the application ourselves.

Is this posting real?

This role has been open
3 days
KRAFTON's roles stay open a median of 81 days
Reposted
No
Salary listed
No
0% of KRAFTON's roles list one
Ghost-job risk at KRAFTON
high
61 stale, 1 reposted of 76 open
Hiring momentum
107 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from KRAFTON's own greenhouse board since 2026-08-03. Full hiring picture for KRAFTON.

About this role

The Research Scientist role focuses on developing specialized AI models for both gaming and non-gaming domains. Responsibilities include end-to-end AI/ML model development, from data collection and model training to evaluation and automation, with an emphasis on fine-tuning models for specific tasks. The position also involves designing reliable evaluation systems to measure model quality and performance.

Our read on this posting3.0out of 5
benefits
1/5
freshness
5/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of KRAFTON as an employer.

What you need

  • Degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or related field
  • Experience in AI/ML model development using frameworks like PyTorch
  • Experience in model training, experimentation, evaluation, data analysis, and error analysis
  • Post-training experience for LLM specialization
  • Experience with distillation, fine-tuning, and data preparation
  • Experience in designing and operating evaluation systems for LLMs

Nice to have

  • Post-training experience with various sizes of open-source LLMs
  • Experience with large model training and serving
  • Experience in synthetic data generation and quality improvement
  • Experience in building learning data generation pipelines
  • Experience in designing and operating evaluation systems for LLMs

Worth weighing

  • No salary or benefits listed in the posting
  • Internship position with a 6-month duration and a 5-month probation period
  • Potential for early termination of employment during the probation period based on performance
  • Application process may vary based on position and candidate

Summarised from KRAFTON's posting. Read the full original.

Listed by KRAFTON on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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