[2026] Senior Machine Learning Engineer, Engine Optimization - PhD Early Career
Job Summary
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
About the Role
You will pioneer the application of machine learning in real-time engine optimization, analyzing massive-scale engine performance, streaming patterns, and user behavior telemetry to uncover optimization opportunities and guide the long-term ML roadmap.
Responsibilities
- Analyze massive-scale engine performance, streaming patterns, and user behavior telemetry to uncover optimization opportunities and guide the long-term ML roadmap.
- Design ML models that infer player and interaction patterns for predictive resource management and content delivery.
- Build adaptive control systems that translate ML outputs into real-time adjustments of fidelity and system decisions, ensuring high-quality experiences without compromising stability or 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 architectural strategy for deploying and scaling ML across resource management and streaming components at massive global scale.
Requirements
- Strong expertise in applied ML—such as reinforcement learning for control, predictive modeling (especially time-series and intent inference), trajectory prediction, 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 (memory management, threading, OS signals) or a deep interest in learning them.
- A track record of solving complex optimization problems or integrating ML into real-time systems, ideally in gaming, simulation, robotics, or mobile environments.
Qualifications
- Experience with large-scale distributed systems and cloud infrastructure.
- Knowledge of game engines and real-time systems.
- Experience with data analysis and machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
- Excellent problem-solving skills and ability to work independently and collaboratively.
Skills
- Applied Machine Learning
- Systems-Level Concepts
- Data Analysis
- Real-Time Systems
- Collaboration and Teamwork
Benefits
Roblox provides a competitive compensation package including a range of benefits such as health insurance, retirement plans, and paid time off. Additionally, all full-time employees are eligible for equity compensation and benefits as described on this page.
Pay
The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range.
Schedule
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).