Tell me about a time you disagreed with a code review comment.
Show that you can defend a technical decision with evidence while remaining open to a better argument.
Machine Learning Engineer 路 Intern to senior
ML engineering interviews include a software engineering round. This collection covers the Python and engineering questions asked there; machine learning theory and MLOps questions will be added over time.
49 questions
Show that you can defend a technical decision with evidence while remaining open to a better argument.
Keep the answer professional and future-focused: explain what you are looking for next without attacking your current or former employer.
A decorator is a function that takes another function and returns a modified version of it, letting you add behaviour such as logging, caching or access control without changing the original code.
A generator is a function that uses yield to produce values one at a time and remembers its state between calls, so it can process large or infinite sequences without holding everything in memory.
CPython frees objects mainly through reference counting, deleting an object as soon as nothing refers to it, and uses a cyclic garbage collector to clean up groups of objects that reference each other.
git revert creates a new commit that undoes an earlier one and is safe on shared branches; git reset moves the branch pointer back to an earlier commit, effectively removing later commits from that branch鈥檚 history.
Describe a real technical or process disagreement, show that you listened and argued with evidence rather than opinion, explain how a decision was reached, and how you supported it afterwards even if it was not your idea.
Describe a problem you noticed, why you decided to act, how you coordinated with others, and the impact of taking ownership.
Explain how you identified ambiguity, clarified the important decisions, made reasonable assumptions and kept delivery moving.
Explain how you assessed urgency, impact, dependencies and risk, then communicated the resulting priorities.
Show respectful disagreement, evidence-based reasoning, willingness to listen and commitment after the final decision.
Identify a recurring source of wasted time or risk, make a focused improvement, and demonstrate its impact.
Explain the manual problem, why automation was worthwhile, how you implemented it safely and what time or error reduction resulted.
Show how you adapted your explanation to the audience, focused on the outcome and avoided unnecessary technical jargon.
Show how you noticed a risk early, validated it, communicated it and added a safeguard.
Describe how you understood the stakeholder鈥檚 goals, handled disagreement professionally and reached a workable outcome.
Explain why you accepted, reduced or paid down technical debt and how you managed the associated risk.
Start with the problem, evaluate alternatives, validate the technology with a small experiment and explain how you managed adoption and risk.
Explain how you identified what the developer needed, coached rather than simply solved the problem, and measured their progress.
The Global Interpreter Lock (GIL) in CPython lets only one thread execute Python bytecode at a time, so threads do not speed up CPU-bound code but still help with I/O-bound work.