Describe learning from a post-interview bug
Overview
This question evaluates a candidate's competency in accountability, post-mortem analysis, communication under pressure, and error-detection practices within the context of machine learning engineering.
Meta
Jul 31, 2025, 12:00 AM
Machine Learning Engineer
Technical Screen
Behavioral & Leadership
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Behavioral Prompt: Bug Discovered After a Remote Technical Screen
Context
You are in a remote technical screen for a Machine Learning Engineer role. You focused heavily on coding, skipped a thorough dry run, and later realized your solution had a bug after the interview ended.
Task
Using a structured behavioral format (e.g., STAR: Situation, Task, Action, Result), describe:
- A specific example of this scenario (what the problem was, what you built, and the bug you later found).
- How you could have detected the bug earlier during the interview.
- How you would communicate with the interviewer during the session (while coding and upon noticing issues) and after the session (upon realizing the bug).
- Concrete changes you will make to avoid similar issues in future technical screens.
Solution
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