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

📋 Description

• Analyze large-scale engine performance and telemetry to uncover optimization opportunities.
• Design ML models to infer player patterns for predictive resource management.
• Build adaptive control systems translating ML outputs into real-time fidelity decisions.
• Collaborate with engine and performance teams to integrate ML into gameplay across platforms.
• Define architecture for deploying ML across resource management and streaming at global scale.

🎯 Requirements

• Applied ML expertise: reinforcement learning for control and time-series predictive modeling.
• Proficiency in C++, Python, Go, or Java with ML in performance-critical systems.
• Strong systems knowledge: memory management and threading; OS signals.
• Proven track record solving optimization for real-time systems (gaming, robotics).

🎁 Benefits

• On-site schedule: Tue–Thu in the San Mateo office; Mon/Fri optional.
• Equal employment opportunities and accommodations during recruiting.
• Equity compensation for all full-time employees.