[2026] Senior Machine Learning Engineer, Engine Optimization - PhD Early Career

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Analyze massive-scale engine performance, streaming patterns, and user behavior telemetry to uncover optimization opportunities
• 2
  Design ML models that infer player and interaction patterns for predictive resource management and content delivery
• 3
  Build adaptive control systems that translate ML outputs into real-time adjustments of fidelity and system decisions
• 4
  Collaborate with core engine and performance engineering teams to integrate ML solutions directly into the critical path of gameplay
• 5
  Define the architectural strategy for deploying and scaling ML across resource management and streaming components

RequirementsAI-extracted

• Strong expertise in applied ML, such as reinforcement learning for control, predictive modeling, or real-time optimization
• Proficiency in C++, Python, Go, Java, or similar languages, with experience deploying ML models in performance-critical systems
• A solid understanding of systems-level concepts, such as memory management, threading, or OS signals
• A track record of solving complex optimization problems or integrating ML into real-time systems

Perks & BenefitsAI-extracted