[2026] Senior Machine Learning Engineer, Engine Optimization - PhD Early Career
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La posizione
Lead the development and execution of ML-driven strategies for real-time engine resource management, covering memory, CPU/GPU compute, battery life, and network bandwidth.
Analyze large-scale engine performance and telemetry to inform the strategic roadmap and identify high-impact optimization targets.
Design and implement machine learning models that predict resource constraints and drive adaptive control of fidelity parameters to maximize user experience while preserving stability and low latency.
Develop adaptive control systems that translate ML outputs into dynamic adjustments to fidelity, rendering, and gameplay across multiple platforms.
Collaborate with core engine and performance teams to integrate ML solutions into the critical gameplay path and scale ML infrastructure in production.
Define the architectural roadmap for introducing and scaling ML infrastructure within the engine subsystem, ensuring reliable operation at massive scale.
Analyze large-scale engine performance and telemetry to inform the strategic roadmap and identify high-impact optimization targets.
Design and implement machine learning models that predict resource constraints and drive adaptive control of fidelity parameters to maximize user experience while preserving stability and low latency.
Develop adaptive control systems that translate ML outputs into dynamic adjustments to fidelity, rendering, and gameplay across multiple platforms.
Collaborate with core engine and performance teams to integrate ML solutions into the critical gameplay path and scale ML infrastructure in production.
Define the architectural roadmap for introducing and scaling ML infrastructure within the engine subsystem, ensuring reliable operation at massive scale.
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