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 weekly.
Implement numerically stable weighted binary cross-entropy from logits and return its loss and gradients.
OptumTests SQL proficiency and your ability to implement fuzzy matching logic for patient identity resolution.
OptumTests your ability to design multimodal ML pipelines combining EHR features and clinical text.
OptumTests your architecture choices for low-latency features and reliability in real-time healthcare predictions.
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Tests your conceptual mastery of generalization and your ability to apply cross-validation in practice.
OptumTests your ability to design statistical validation for fairness and bias detection in healthcare ML.
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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