Behavioral: Turning Around Work That Was Failing, and a Time You Were the Blocker

Quick Overview

Two behavioral prompts from a Staff machine learning engineer screen: describe a time you turned around work that was failing, and a time you were the blocker. They test ownership, measurable impact, influence across teams and honest self-assessment, delivered as structured stories.

Behavioral: Turning Around Work That Was Failing, and a Time You Were the Blocker

Company: LinkedIn

Role: Machine Learning Engineer

Category: Behavioral & Leadership

Difficulty: medium

Interview Round: Technical Screen

In the behavioral section of a technical screen for a Staff machine learning engineer role, the interviewer asked two questions. Answer each with a specific story from your own work. ### Clarifying Questions - What kind of failure counts for the first question: a project slipping, a model missing its target, a launch going wrong, or a production incident? - At Staff level, should the stories show impact beyond your own team, for example across organizations? - How long should each answer run before the interviewer starts asking follow-up questions? ### Part 1 — Turning a failure around "Tell me about a time when you saved a failure from your work." Describe something that was failing, or about to fail, and how you turned it around. ```hint Find the turning point Choose a story in which you can name when and how you noticed the failure, and the specific decision of yours that changed its course. ``` #### What This Part Should Cover - The stakes, and the signal that showed things were failing - The candidate's own actions and decisions, separated from the team's - A measurable result, and what changed afterwards so the failure would not repeat ### Part 2 — A time you were the blocker "Tell me about a time when you were the blocker." ```hint Ownership first Either way the prompt is read, the interviewer is probing self-awareness: how you realized your part in the delay or the stop, and how you treated the people waiting on you. ``` #### Clarifying Questions for this Part - Does the interviewer mean a time you were the bottleneck holding up other people's work, or a time you deliberately blocked something, such as a launch or a design, that you believed should not go ahead? #### What This Part Should Cover - An honest account of how the candidate became the blocker, without blaming others - How the candidate unblocked others, or justified and resolved a deliberate block, including communication with the people affected - What the candidate changed in their own way of working afterwards ### What a Strong Answer Covers - Two distinct, specific stories in a clear situation, task, action and result structure, each with the candidate's own decisions and quantified results - Staff-level scope: influence across teams or organizations, not only individual execution - Candor about the candidate's own mistakes, especially in Part 2, with lessons that changed behavior - Concise delivery that leaves room for the interviewer's follow-up questions ### Follow-up Questions - In the first story, what would have happened if you had not stepped in, and why had nobody else caught it? - How did you keep stakeholders informed while the outcome was still uncertain? - In the blocker story, how did the people waiting on you see the situation, and how do you know? - What do you do now to notice early that you are becoming a bottleneck?

Overview: Two behavioral prompts from a Staff machine learning engineer screen: describe a time you turned around work that was failing, and a time you were the blocker. They test ownership, measurable impact, influence across teams and honest self-assessment, delivered as structured stories.

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LinkedIn
Oct 19, 2026
mediumMachine Learning EngineerTechnical ScreenBehavioral & Leadership
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In the behavioral section of a technical screen for a Staff machine learning engineer role, the interviewer asked two questions. Answer each with a specific story from your own work.

Clarifying Questions Guidance

  • What kind of failure counts for the first question: a project slipping, a model missing its target, a launch going wrong, or a production incident?
  • At Staff level, should the stories show impact beyond your own team, for example across organizations?
  • How long should each answer run before the interviewer starts asking follow-up questions?

Part 1 — Turning a failure around

"Tell me about a time when you saved a failure from your work."

Describe something that was failing, or about to fail, and how you turned it around.

What This Part Should Cover Guidance

  • The stakes, and the signal that showed things were failing
  • The candidate's own actions and decisions, separated from the team's
  • A measurable result, and what changed afterwards so the failure would not repeat

Part 2 — A time you were the blocker

"Tell me about a time when you were the blocker."

Clarifying Questions for this Part Guidance

  • Does the interviewer mean a time you were the bottleneck holding up other people's work, or a time you deliberately blocked something, such as a launch or a design, that you believed should not go ahead?

What This Part Should Cover Guidance

  • An honest account of how the candidate became the blocker, without blaming others
  • How the candidate unblocked others, or justified and resolved a deliberate block, including communication with the people affected
  • What the candidate changed in their own way of working afterwards

What a Strong Answer Covers Guidance

  • Two distinct, specific stories in a clear situation, task, action and result structure, each with the candidate's own decisions and quantified results
  • Staff-level scope: influence across teams or organizations, not only individual execution
  • Candor about the candidate's own mistakes, especially in Part 2, with lessons that changed behavior
  • Concise delivery that leaves room for the interviewer's follow-up questions

Follow-up Questions Guidance

  • In the first story, what would have happened if you had not stepped in, and why had nobody else caught it?
  • How did you keep stakeholders informed while the outcome was still uncertain?
  • In the blocker story, how did the people waiting on you see the situation, and how do you know?
  • What do you do now to notice early that you are becoming a bottleneck?