General Dynamics Land Systems Interview Questions

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffGeneral Dynamics Land Systems

Describe a time you had to choose between speed, quality, and scope, and how you aligned stakeholders around the trade-off.

Trade-offsRisk AssessmentScope ManagementGeneral Dynamics Land Systems

Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.

Cold StartFeature StoreModel ServingGeneral Dynamics Land Systems

Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.

HallucinationPrompt EngineeringLLM EvaluationGeneral Dynamics Land Systems

Build a repeatable preprocessing pipeline that cleans, validates, transforms, and versions training data.

ETLData ModelingQualityGeneral Dynamics Land Systems

Approach for detecting, interpreting, and responding to model drift in a production AI system.

CalibrationAUC-ROCThreshold TuningGeneral Dynamics Land Systems