[2026] Senior Machine Learning Engineer (Systems), Embodied AI/NPCs, ML Platform - PhD Early Career

What You Will Do

• Develop Scale Data Pipelines: Design, build and maintain robust data pipelines to collect complex 3D game states and real-time player actions across the platform.
• Train Novel Architectures: Solve the feature extraction across games for NPC model in a general and scalable way and drive model training speed for novel, sophisticated deep learning architectures.
• Optimize Real-Time Inference: Engineer high-performance model inference solutions to support the seamless deployment of 10s to 100s of autonomous NPCs in real-time environments.

Qualifications

• Possessing or pursuing a Ph.D. in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field, with a thesis aligned to Roblox’s research areas.
• Built end-to-end ML pipelines and managed model inference and deployment.
• Experience with novel datasets, and building real-world agentic applications.
• Scaled high-performance, high-availability architectures.
• Handled infrastructure using Kubernetes and major cloud providers (AWS, Azure, or GCP).