Meta Data Scientist Machine Learning Interview Questions
Practice the exact questions companies are asking right now.
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How would you design a Shop Ads ranking algorithm?
Context An ads ranking system serves ads via an auction. You want to uprank Shop Ads relative to Website Ads to improve user conversion and help certa...
Choose metrics for fake-user classifier
Classifying Fake Accounts: Metrics, Capacity, Thresholding, and Validation Context - Population: 10,000,000 daily active users (DAU) - True fake rate ...
Design an ad recommendation ranking approach
You are designing an ad recommendation (ad ranking) system for a consumer app. Goal Maximize long-term business value while maintaining a good user ex...
Identify Fake Accounts Using Machine Learning Techniques
Detecting Fake Accounts on a Social Network Context You are a data scientist at a large social platform. The goal is to detect and mitigate fake or ab...
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...
Evaluate Fake-Account Classifier with Precision and Recall Metrics
Evaluating a Fake-Account Classifier in Production Scenario You have trained a model that flags fake accounts. Leadership wants clear, defensible evid...
Design a restaurant recommender under cold start
Design a Multi-Objective Restaurant Ranking System You own the restaurant recommendation surface for a city app. The goal is to rank nearby restaurant...
Choose threshold under asymmetric costs
You own a credit-card fraud classifier deployed as a probability scorer. Choose an operating threshold under asymmetric costs and justify it quantitat...
Apply reinforcement learning to product decisions
Session‑level recommendations have stateful effects and feedback loops affecting long‑term retention. a) Formulate the problem as an MDP (state, actio...
Design a hashtag recommender for News Feed
Design: Hashtag Recommendations in the News Feed Context You are adding hashtag recommendations alongside posts in a large social app’s News Feed. The...
Identify Algorithms for Detecting Malicious Duplicated Content
Detecting Malicious Duplicated Text (DOT) Scenario You are selecting technical approaches for DOT, a bot‑detection tool aimed at finding malicious dup...
Choose Metrics for Evaluating Fake-User Classifier
Classifier Evaluation for Detecting Fake Users Scenario A sudden spike in daily average comments may be driven by fake users. You are asked to build a...
Propose an ads recommendation model for shop ads
You need to propose a modeling approach for recommending/ranking shop ads (i.e., which shop ads to show and in what order) for a marketplace app. Desc...
Tune fraud threshold under review capacity and costs
Fraud Triage Thresholding with Calibrated Scores Context You have a fraud model that outputs a calibrated score s ∈ [0, 1] per account, where s ≈ P(fa...
Choose clustering for social network users
Scenario You need to cluster users to discover meaningful groups (e.g., communities, interest groups, or usage segments). You may have: - Traditional ...
How would you design Shop-ad ranking?
Suppose the previous experiment shows that, in some contexts, users are more likely to convert when shown an ad that leads to an in-app Shop rather th...
Identify Fake Accounts Using Machine Learning Techniques
Scenario You are a data scientist at a social‑commerce platform responsible for trust and safety. You need to design a system to detect and mitigate f...
Design hashtag recommender with cold start
Hashtag Recommendation Design (Short-Video App) Task Design a system to recommend hashtags a user is likely to follow. Answer all parts precisely. 1) ...
Choose and compute recommender evaluation metrics
Restaurant Recommender: Offline Evaluation and Modeling Context: You are scoring p(y=1|x) with logistic regression to predict if a user will engage wi...
Choose ML metrics under asymmetric costs
Binary Classifier With Asymmetric Costs: Fraud vs. Cancer Context: You own a production binary classifier and must make product/ML decisions under asy...