Senior Machine Learning Engineer (Engine Optimization)

TL;DR

Senior Machine Learning Engineer (Engine Optimization): Developing and deploying machine learning models to optimize real-time engine resource management and performance for a large-scale gaming platform with an accent on low-latency systems and adaptive control. Focus on designing predictive models, solving complex resource allocation problems, and integrating ML into core gameplay engine subsystems.

Location: Hybrid onsite in San Mateo, CA, United States

Salary: $192,890–$238,520 USD annually

Company

hirify.global builds a platform enabling a global community to create and share immersive 3D digital experiences, focusing on innovation in human interaction and gaming.

What you will do

• Analyze large-scale engine performance and user telemetry to guide optimization priorities.
• Design and implement ML models for real-time prediction and management of engine resource constraints.
• Develop adaptive control systems to dynamically adjust engine fidelity for stability and user experience.
• Collaborate with engine and performance teams to integrate ML solutions into gameplay across platforms.
• Define and scale ML infrastructure architecture within the engine subsystem.

Requirements

• Location: Hybrid onsite with presence required Tuesday to Thursday in San Mateo, CA
• Expertise in applied machine learning areas such as reinforcement learning, predictive modeling, or real-time optimization.
• Proficiency in programming languages like C++, Python, Go, or Java and experience deploying ML in performance-critical environments.
• Strong understanding of low-latency systems concepts including memory management and OS signals.
• Experience solving complex optimization problems or integrating AI/ML in gaming or mobile products.