Interview prep

Machine Learning Engineer interview questions

13 questions machine learning engineers get asked, grouped by type. Under each one are the skills it is really testing, so you can pick a story from your own work that shows them.

Technical

  1. How do you detect that a model's performance has degraded in production before it shows up as a business problem?
    Tests: monitoring, model evaluation
  2. Walk me through how you'd debug a model that performs well offline but poorly once it's serving live predictions.
    Tests: debugging, data quality
  3. How do you decide whether a marginal accuracy gain from a larger model is worth the added latency and infrastructure cost?
    Tests: judgment, model evaluation
  4. How do you make sure a model result can be reproduced months later, after the code, data and libraries have all moved on?
    Tests: reliability, judgment

Situational

  1. A newly deployed model starts producing worse outcomes for a subset of users. How do you decide whether to roll it back?
    Tests: judgment, monitoring
  2. You suspect the labels in your training data are inconsistent, but relabeling everything would take weeks. What do you do?
    Tests: data quality, judgment
  3. A stakeholder wants to know why the model made a specific prediction and the model isn't easily interpretable. How do you handle that conversation?
    Tests: communication, judgment
  4. The team wants to ship a new model version quickly, but you're not confident the offline evaluation reflects real production conditions. What do you do?
    Tests: judgment, communication

Behavioral

  1. Tell me about a time you disagreed with a coworker and how you handled it.
    Tests: conflict resolution, communication
  2. Describe a project or task that did not go well and what you did about it.
    Tests: ownership, reflection
  3. Give an example of persuading someone to adopt an idea they initially resisted.
    Tests: influence, communication
  4. Walk me through how you decided what to work on when you had more requests than time.
    Tests: prioritisation, judgment
  5. Tell me about a time you had to learn something new quickly to get a job done.
    Tests: learning agility, ownership
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Machine Learning Engineer interview questions — Gurus Consulting