Machine Learning Engineer, Game Security at KRAFTON Americas

Department: Engineering & Technology

Compensation

$154,000 – $211,000/yr

Location: El Segundo, California
Level: senior
Posted: Jul 24, 2026

Description

KRAFTON is hiring a Machine Learning Engineer focused on game security to develop and improve ML models that detect abnormal user behavior and cheating in games. The role analyzes large-scale game logs and security events, designs detection logic and metrics, evaluates model performance, and collaborates with game studios and security engineers. Candidates need a related degree or equivalent experience, at least five years of ML modeling experience, and proficiency with Python, SQL, feature engineering, and model evaluation.

Required Skills

Python
SQL
Feature engineering
Model evaluation
Anomaly detection
Spark

Additional Information

Minimum Education: Degree in Machine Learning, Deep Learning, Statistics, or Computer Science, or equivalent practical experience
Required Previous Experiences: 5+ years of ML-based modeling experience in gameplay environments
Experience analyzing large-scale log and event data with Python or SQL
Experience understanding and improving machine learning or deep learning models
Experience performing scalable and reproducible feature engineering
Experience evaluating model performance and reducing false positives and false negatives
Preferred Qualifications: Experience with game data for anti-cheat and abnormal behavior analysis
Experience with FPS, battle royale, or MMORPG data characteristics
Experience detecting abnormal user behavior patterns and improving detection logic
Experience processing large-scale logs and operating ML pipelines
Experience with Spark or Hadoop data platforms
Experience collaborating with global organizations or communicating in Korean or another language