Vacancy Description
Responsibilities:
Define and lead the modeling architecture for personalization, matchmaking, social graph recommendations, and player/community discovery.‘Architect multi-model systems combining skill, preference, trust, and safety signals for fair and meaningful matchmakingDevelop models for skill inference, player behavior prediction, trust & safety signals, and multi-objective optimization across fairness, latency, and experience quality.Build and optimize real-time inference systems for personalized content, store offers, matchmaking, and player interactions at global scale.Drive adoption of advanced modeling approaches including contextual bandits, reinforcement learning, graph ML, and session-aware personalization.Partner with Data Engineering and Product to shape data schemas, feature pipelines, telemetry standards, and model observability across the ML lifecycle.Define Res...
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