Game Security Data Scientist: ML for Cheating Detection

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

Job summary

KRAFTON Inc. in California is seeking a Senior ML Security Engineer to enhance data analytics and ML-based detection for its security services (KSS).

You will analyze game logs and user events to detect cheating and abnormal behavior, and work with studios and security engineers to improve detection accuracy. The role emphasizes building scalable ML pipelines, feature engineering, and evaluating model performance, with an emphasis on reducing false positives while strengthening enforcement.

Qualifications

• Degree in ML, DL, Statistics, or Computer Science or equivalent practical experience.
• Experience with ML-based modeling projects such as anomaly detection, classification, or pattern analysis in gameplay.
• Ability to analyze large-scale log data using Python, SQL, or similar tools.
• Understanding end-to-end data workflow, including log data cleansing, feature engineering, and model evaluation.
• Experience with machine learning/deep learning models and improvements based on objectives.
• Ability to perform feature engineering with focus on quality, reproducibility, and scalability.
• Ability to evaluate model performance and interpret false positives/false negatives.
• Ability to define problems independently and drive data-driven improvements.

Responsibilities

• Develop and improve ML models to detect abnormal user behavior and cheating in games.
• Detect anomalies by analyzing large-scale game logs, user behavior data, and security events.
• Analyze cheating patterns, identify detection features, and design/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/false negatives, and improve model quality.

Skills

Machine Learning

Security analytics

Python

SQL

Anomaly detection

Model evaluation

Data analysis

Education

Bachelor's degree in Computer Science or related field

Experience in ML/AI in gaming or security context

Tools

Python

SQL

Spark

Hadoop

Job description

KRAFTON Inc. in California is seeking a Senior ML Security Engineer to enhance data analytics and ML-based detection for its security services (KSS).

You will analyze game logs and user events to detect cheating and abnormal behavior, and work with studios and security engineers to improve detection accuracy. The role emphasizes building scalable ML pipelines, feature engineering, and evaluating model performance, with an emphasis on reducing false positives while strengthening enforcement.