[2026] Senior Machine Learning Engineer, Engine Optimization - PhD Early Career
Core
Building ML frameworks for predictive resource allocation and content fetching in a real-time 3D engine to optimize stability, visual quality, and responsiveness for millions of users.
Role type
Senior Machine Learning Engineer (Engine Optimization)
Builds
Real-time engine resource management and streaming systems for a global 3D platform
Domain
Gaming / Real-time Systems / Machine Learning
Deliverable
production ML models
Required skills
Applied ML (reinforcement learning, predictive modeling, time-series, intent inference, trajectory prediction), C++, Python, Go, Java, Systems-level concepts (memory management, threading, OS signals), Real-time optimization
Preferred skills
Experience in gaming, simulation, robotics, or mobile environments
Technologies
C++, Python, Go, Java
Responsibilities
Analyze massive-scale engine performance and user telemetry to guide the ML roadmap; Design ML models for predictive resource management; Build adaptive control systems for real-time fidelity adjustments; Collaborate with core engine teams to integrate ML solutions; Define architectural strategy for scaling ML across global systems
Seniority
Senior, hands-on IC
