[2026] Senior Machine Learning Engineer, Engine Optimization - PhD Early Career
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The role
Analyze massive-scale engine performance, streaming patterns, and telemetry to uncover optimization opportunities and guide the ML roadmap.
Design ML models that infer player and interaction patterns for predictive resource management and content delivery.
Build adaptive control systems that translate ML outputs into real-time adjustments of fidelity and system decisions to maintain quality while controlling latency.
Collaborate with core engine and performance teams to integrate ML solutions directly into the critical gameplay path across platforms.
Define the architectural strategy for deploying and scaling ML across resource management and streaming components at global scale.
Bring deep hands-on ML expertise and systems proficiency, including RL, time-series, trajectory prediction, memory management, and multithreading.
Design ML models that infer player and interaction patterns for predictive resource management and content delivery.
Build adaptive control systems that translate ML outputs into real-time adjustments of fidelity and system decisions to maintain quality while controlling latency.
Collaborate with core engine and performance teams to integrate ML solutions directly into the critical gameplay path across platforms.
Define the architectural strategy for deploying and scaling ML across resource management and streaming components at global scale.
Bring deep hands-on ML expertise and systems proficiency, including RL, time-series, trajectory prediction, memory management, and multithreading.
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