[2026] Senior Machine Learning Engineer (Systems), Embodied AI/NPCs, ML Platform - PhD Early Career
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About This Role
Roblox is seeking a Senior Machine Learning Engineer to drive innovation in AI Platform, Distributed Inference Systems, and Embodied AI/NPCs. The role involves building cutting-edge systems that power AI at Roblox, including developing scale data pipelines, training novel architectures, and optimizing real-time inference. The ideal candidate will have a PhD in Computer Science or a related field, with experience in building end-to-end ML pipelines and managing model inference and deployment.
Key ResponsibilitiesAI-extracted
- 1Design, build, and maintain robust data pipelines to collect complex 3D game states and real-time player actions across the platform
- 2Train novel architectures to solve feature extraction across games for NPC models in a general and scalable way
- 3Optimize real-time inference solutions to support the seamless deployment of autonomous NPCs in real-time environments
- 4Pioneer next-generation AI tooling to enhance the efficiency, cost, and usability of ML at Roblox
- 5Architect and implement scalable distributed inference systems for efficiently serving large models at massive scale
RequirementsAI-extracted
- Possessing or pursuing a PhD in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field
- Experience in building end-to-end ML pipelines and managing model inference and deployment
- Experience with novel datasets and building real-world agentic applications
- Experience in scaling high-performance, high-availability architectures
- Experience with infrastructure using Kubernetes and major cloud providers
Perks & BenefitsAI-extracted
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