[2026] Senior Machine Learning Engineer (Systems), Embodied AI/NPCs, ML Platform - PhD Early Career
Core
Building scalable AI systems for NPC behavior in Roblox games and optimizing distributed inference for large models.
Role type
Senior Machine Learning Engineer (Systems)
Builds
NPC systems for Roblox games, distributed inference systems for LLMs and recommender models, and core ML platform components.
Domain
Gaming, Embodied AI, Distributed Systems
Deliverable
production ML models | infrastructure
Required skills
End-to-end ML pipeline design, model inference and deployment, novel dataset handling, high-performance architecture scaling, Kubernetes, cloud providers (AWS/Azure/GCP)
Preferred skills
PhD in CS/Engineering/Math/Statistics, agentic application development, low-level GPU optimization
Technologies
Kubernetes, AWS, Azure, GCP, GPU architectures
Responsibilities
Design and maintain data pipelines for 3D game states and player actions; Train novel deep learning architectures for NPC feature extraction; Engineer high-performance real-time inference solutions; Architect scalable distributed inference systems for LLMs; Optimize inference engines for high QPS and low latency; Conduct low-level performance analysis and model optimization.
Seniority
Senior, hands-on IC