Meta·Machine Learning Engineer·Onsite - Behavioral / Leadership
Jul 2026
Behavioral round for an MLE role at Meta, entirely focused on research experience. The whole thing was basically: pick a project you owned, then defend every decision you made for 45 minutes.
- Walk me through a research project you personally led, including the problem, your hypothesis, and how you ran experiments.
- What happened when your results didn't match your hypothesis, or when an experiment failed to show what you expected?
- Describe a time you disagreed with a collaborator or stakeholder about the direction of a project. How did you handle it?
- How did you decide what to prioritize when you had multiple competing research directions or limited resources?
- What was the actual impact of the research you described? How did you measure it or communicate it to others?
“This is the core question and they will stay here for a long time.” The rest of the author's notes on Machine Learning Engineer interview at Meta, Onsite - Behavioral / Leadership round, covers how they worked through the question, what the panel pushed back on, and what they would do differently.
View Post