KRAFTON

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

KRAFTON · Seoul; Seoul, South Korea

Posted 25 days ago

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

Is this posting real?

This role has been open
25 days
KRAFTON's roles stay open a median of 103 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
25 roles opened in the last 90 days
↓ down vs. the prior 90 days
Last confirmed on the employer's board
2026-11-14

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 2026-11-14. PitchMeAI is not the employer.

More roles at KRAFTON

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