[2026] Senior Machine Learning Engineer, Engine Optimization - PhD Early Career
[2026] Senior Machine Learning Engineer, Engine Optimization - PhD Early Career
[2026] Senior Machine Learning Engineer, Engine Optimization - PhD Early Career
Roblox Corporation
Roblox is seeking a Senior Machine Learning Engineer to pioneer the application of machine learning for real-time, low-latency systems optimization within their Harmony subsystem. This role involves defining ML strategies for resource management, solving complex resource allocation problems, and enhancing user experience across devices.
Qualification
- PhD in Computer Science, Machine Learning, or a related field
- Experience with machine learning frameworks such as TensorFlow or PyTorch
- Strong programming skills in Python or similar languages
- Familiarity with real-time systems and performance optimization
- Ability to analyze large datasets and derive actionable insights
Responsibility
- Analyze massive-scale engine performance and user engagement telemetry to drive the team’s strategic roadmap, using data insights to prioritize high-impact optimization targets
- Design and implement machine learning models to predict and manage critical engine resource constraints in real time
- Develop adaptive control systems that use ML outputs to dynamically adjust engine fidelity parameters, maximizing user experience while maintaining stability and low latency
- Collaborate with core engine and performance engineering teams to integrate ML solutions directly into the critical path of gameplay across multiple platforms
- Define the ML strategy for resource management within the engine, moving beyond traditional heuristics to build adaptive systems
