Took me a second to recalibrate because I came in expecting to actually code something.
Frame your answer around a structured, iterative workflow that mirrors how you'd actually collaborate with AI tools like Copilot or ChatGPT. Emphasize that AI accelerates but doesn't replace human judgment, especially for problem decomposition, edge-case reasoning, and validation. Tailor your examples to ML engineering contexts (e.g., data pipelines, model debugging) and highlight Apple's values like privacy and on-device constraints.
Pro tip: Explicitly call out where you would NOT trust AI—such as generating critical training loops or handling sensitive data—and describe how you'd verify AI suggestions with unit tests, peer review, or small-scale experiments. This shows maturity and aligns with Apple's emphasis on reliability and privacy.
Restate the problem in your own words, identify inputs/outputs, edge cases, and non-functional requirements (e.g., latency, memory, privacy). This ensures you and the AI tool have a shared understanding before generating any solutions.
Break the problem into smaller, testable pieces (e.g., data loading, feature engineering, model selection, evaluation). Use AI to brainstorm approaches for each subproblem, but you drive the decomposition based on domain knowledge.
Prompt the AI to suggest algorithms, libraries, or pseudocode for each subproblem. Critically evaluate suggestions for correctness, efficiency, and fit with constraints, asking follow-up questions to probe trade-offs.
Mentally simulate or sketch test cases to verify AI-generated logic. Identify potential failure modes (e.g., data leakage, numerical instability) and iterate on the design, using AI to explore alternatives but making final decisions yourself.
Outline how you would implement and test the solution, including unit tests, integration tests, and monitoring. Specify which parts you'd write manually versus with AI assistance, and how you'd ensure reproducibility and privacy.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.