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About the Role We are building a next-generation AI-driven anti-cheating system for competitive strategy games.
Unlike traditional fraud detection, our challenge sits at the intersection of:
🎮 Game AI & player behavior modeling
🧠 Reinforcement learning & decision systems
🔍 Anomaly detection under adversarial conditions
You will work on identifying non-obvious, strategic cheating behaviors in complex environments where players actively adapt to detection systems. This is not rule-based detection — this is behavioral intelligence at scale.
What You’ll Do 1️⃣ Behavioral Modeling & Detection
Design machine learning / deep learning models to detect cheating patterns
Model player behavior sequences, strategies, and anomalies
Build systems that distinguish:
high-skill play vs. AI-assisted play natural variance vs. exploitation 2️⃣ Anti-Cheating System Design Develop scalable detection pipelines (offline + real-time) Build feature systems from gameplay logs / event streams Design evaluation frameworks for detection accuracy & robustness 3️⃣ ML / DL / Advanced Techniques