What exactly do you pin to make an ML training run bit-for-bit reproducible?
'Just set a seed' misses the point. Reproducibility means pinning the environment, the data, the code, and the hardware-level nondeterminism together. Here is the full checklist and where it springs leaks.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
'Just set a seed' misses the point. Reproducibility means pinning the environment, the data, the code, and the hardware-level nondeterminism together. Here is the full checklist and where it springs leaks.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
