Senior ML Scientist, Game Security & Anti-Cheat

KRAFTON Americas; El Segundo (CA); On-site; USD 154,000 - 211,000; Full time

Job summary

KRAFTON Americas seeks a Senior level Game Security Data Scientist to develop, apply, and operate game security solutions and security operations for PUBG-related games. The team focuses on Anti-Cheat, Anti-Tamper, data analysis, and ML-based detection to ensure trusted gameplay.

The role requires analyzing large-scale logs and user behavior data, building ML models, and collaborating with game studios and security engineers to drive detection outcomes and operational efficiency.

Qualifications

• 5+ years of ML-based modeling experience in gameplay data
• Proficient in Python and SQL for data analysis
• Understanding end-to-end data workflow from logs to features
• Experience with ML/deep learning models and evaluation

Responsibilities

• Develop and enhance ML models to detect abnormal user behavior and cheating in games
• Analyze large-scale game logs, user behavior data, and security events to detect anomalies
• Analyze cheating patterns, identify detection features, and design and enhance detection logic
• Support data analysis for security operations and enforcement response
• Design and visualize metrics to improve KSS detection and operational efficiency
• Collaborate with game studios, security engineers, and other stakeholders
• Evaluate detection model performance, analyze false positives and false negatives, and improve model quality

Skills

ML-based modeling

Anomaly detection

Classification

Prediction

Pattern analysis

Python

SQL

Feature engineering

Model evaluation

Education

Related field degree (ML/CS)

Tools

Python

SQL

Job description

KRAFTON Americas seeks a Senior level Game Security Data Scientist to develop, apply, and operate game security solutions and security operations for PUBG-related games. The team focuses on Anti-Cheat, Anti-Tamper, data analysis, and ML-based detection to ensure trusted gameplay.

The role requires analyzing large-scale logs and user behavior data, building ML models, and collaborating with game studios and security engineers to drive detection outcomes and operational efficiency.