A5 Labs
A5 Labs is a pioneering company that focuses on data, machine learning, and blockchain technologies to enhance the integrity and fairness of competitive online games. Comprising a team of tech entrepreneurs, AI scientists, and passionate gamers, A5 Labs aims to address the challenges faced by the online gaming industry, including issues related to game integrity and player matchmaking. The company leverages advanced analytics, artificial intelligence, and blockchain platforms to create transparent gaming experiences and ensure fair play for all users.
Game Theory Research • Machine Learning • Business Intelligence • Online Gaming • Game Design
Principal AI Architect - Anti-Cheat
April 8
A5 Labs
A5 Labs is a pioneering company that focuses on data, machine learning, and blockchain technologies to enhance the integrity and fairness of competitive online games. Comprising a team of tech entrepreneurs, AI scientists, and passionate gamers, A5 Labs aims to address the challenges faced by the online gaming industry, including issues related to game integrity and player matchmaking. The company leverages advanced analytics, artificial intelligence, and blockchain platforms to create transparent gaming experiences and ensure fair play for all users.
Game Theory Research • Machine Learning • Business Intelligence • Online Gaming • Game Design
📋 Description
• A5 Labs offers AI-driven security solutions for fair play in strategy games. • Role involves overseeing anti-cheat technical pipeline and integrating AI models. • Lead a team of ML engineers and collaborate with product and security teams.
🎯 Requirements
• Master’s or PhD in Computer Science, Machine Learning, AI, or a related field. • 10+ years of experience in AI, neural networks, and deep reinforcement learning, preferably in gaming, cybersecurity, or fraud detection. • Strong background in AI model deployment and integration, with experience managing end-to-end ML pipelines. • Expertise in MLOps, real-time ML inference, and cloud-based AI deployment (AWS, GCP, or Azure). • Experience working with high-volume, low-latency ML applications that require real-time fraud detection. • Proficiency in Python, TensorFlow/PyTorch, SQL, and distributed computing frameworks (Spark, Kafka, Kubernetes, etc.). • Deep knowledge of game theory, adversarial ML, bot detection, and automation security.
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