Roblox
Senior
Own the ML roadmap that catches Roblox outages before 100M daily users feel them
Roblox is hiring its first Senior ML Engineer inside the Reliability team, tasked with using anomaly detection and time-series modeling across logs, traces, and metrics to cut Mean Time to Detect and Mean Time to Resolve production incidents. This interview probes applied ML for systems reliability, distributed-systems fundamentals, and the judgment to set technical direction in an ambiguous, first-of-its-kind role.
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Free · a live voice mock calibrated to this exact role
What this interview tests
- Real-time anomaly detection on production telemetry (metrics/logs/traces)
- Time-series forecasting for capacity and traffic-spike prediction
- Root-cause reasoning systems that fuse multiple data streams
- Distributed systems fundamentals at high-throughput scale
- Setting technical direction/roadmap in a newly-formed function
Common question themes
Design a pipeline to detect anomalies across logs, metrics, and traces in near-real-time
How would you reduce MTTD/MTTR using ML rather than static thresholds
Build a time-series model to predict capacity exhaustion before it happens
How do you avoid alert fatigue / false positives in an automated detection system
Tell me about a time you set technical direction with no existing playbook
How would you explain a complex ML reliability system to non-technical executives
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