Optum Machine Learning Engineer Interview Questions
The questions to prepare for a Optum Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.
Design a grounded LLM system that retrieves, reasons over, and cites knowledge graph facts.
OptumExplain how LLM quantization reduces memory and inference cost, and analyze its effects on quality, latency, and hardware compatibility.
OptumUse a frequency map to find all clinic check-in times with the highest operational volume in O(n) time.
OptumCompute each patient's inclusive rolling 30-day claim-cost average after sorting claims by patient and date.
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Select tests and confidence intervals to determine whether model performance differs significantly across demographic patient populations.
OptumDiagnose whether preprocessing, model inference, infrastructure, or data access is causing production ML performance degradation.
OptumTests your deep understanding of transformers and your ability to adapt attention to clinical text use cases.
OptumTests your data engineering design for streaming ingestion at scale relevant to Optum’s health technology.
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