PhD early-career systems ML role building real-time NPC inference and AI platform internals at Roblox

This is a PhD-early-career Senior MLE role split across two tracks: the Creator Services Machine Intelligence team building an NPC system that plays Roblox games and runs real-time inference at platform scale, and the ML Platform team building core AI infra (serving layer, model registry, pipeline orchestrator) and distributed LLM/recommender inference optimization. Expect deep systems-level ML interview questions on data pipelines, low-latency inference, and GPU optimization, calibrated to a strong PhD thesis rather than years of industry experience.

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这场面试考什么

Real-time/low-latency ML inference at scale
Distributed inference systems for LLMs and recommender models
GPU-level optimization (continuous batching, speculative decoding, quantization)
End-to-end ML pipeline design and data pipeline engineering
ML platform components (serving layer, model registry, orchestration)
Kubernetes and cloud infrastructure (AWS/Azure/GCP)