Meta Data Scientist Machine Learning Interview Questions

Practice 50 real Machine Learning interview questions for Data Scientist roles at Meta.

50 Questions 1 Company02.12.2026
Showing 10 results
Role
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Meta
Medium
Data Scientist

Evaluate Product-Ranking Algorithm with Precision and Recall Metrics

Evaluate Product-Ranking Algorithm with Precision and Recall Metrics Scenario Instagram Shopping wants to improve its product‑ranking algorithm for th...

Machine Learning
6
0
45 people solved
Aug 4, 2025
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Meta
Medium
Data Scientist

Develop a Restaurant-Recommendation Engine with Logistic Regression

Develop a Restaurant Recommendation Engine with Logistic Regression You are designing a restaurant recommendation engine for a social app. You need to...

Machine Learning
108
0
334 people solved
Jul 12, 2025
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Meta
Medium
Data Scientist

Employ Collaborative Filtering for Personalized Recommendation Lists

Collaborative Filtering and Ranking for Personalized Recommendation Lists You are releasing a new recommendation feature that must generate personaliz...

Machine Learning
40
0
129 people solved
Jul 12, 2025
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Meta
Hard
Data Scientist

Design a Restaurant Recommendation System for Food Apps

Design a Restaurant Recommendation System for a Food-Ordering App You are designing an end-to-end recommendation system that suggests restaurants to u...

Machine Learning
34
0
102 people solved
Jul 12, 2025
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Meta
Medium
Data Scientist

How would you predict a car’s turning intention?

At an intersection, there are n vehicles stopped or approaching. For each vehicle, you have a short history (e.g., last 3–10 seconds at 10 Hz) of: - P...

Machine Learning
7
0
54 people solved
Nov 24, 2025
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Meta
Hard
Data Scientist

Deploy multi-armed bandits safely

Online bandit with 3 variants, churn guardrail, and delayed conversions Context You are running an online experiment with 3 variants (including contro...

Machine Learning
8
0
70 people solved
Oct 13, 2025
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Meta
Medium
Data Scientist

Explain why LASSO selects features

Explain why LASSO performs feature selection. Provide: 1) high-level intuition comparing L1 vs. L2 penalties; 2) geometric interpretation of the const...

Machine Learning
2
0
44 people solved
Oct 13, 2025
Meta logo
Meta
Hard
Data Scientist

Evaluate fraud classifier with cost-sensitive metrics

Binary Fraud Classifier: Metrics, Thresholding, Calibration, and Online Evaluation You inherit a binary fraud classifier used to decide whether to blo...

Machine Learning
3
0
31 people solved
Oct 13, 2025
Meta logo
Meta
Hard
Data Scientist

Optimize IG Shopping ranking with multiple objectives

Instagram Shopping: Multi-Objective Ranking With Fairness, Fraud Robustness, and On-Device Constraints You are designing the Instagram Shopping home f...

Machine Learning
2
0
25 people solved
Oct 13, 2025
Meta logo
Meta
Medium
Data Scientist

Detect and Reduce Spammy Friend Requests Effectively

Detect and Reduce Spammy Friend Requests Effectively Detecting Spammy Friend Requests Context Assume a consumer social platform where users can send f...

Machine Learning
2
0
26 people solved
Aug 4, 2025

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