Snapchat Machine Learning Engineer Interview Questions
Practice the exact questions companies are asking right now.
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Design a video recommendation system
Scenario Design an end-to-end video recommendation system for a short-video or spotlight-style feed. Requirements 1. Product goals - Personalized r...
Explain BatchNorm, optimizers, and L1/L2
Prompt Answer the following ML fundamentals questions: 1. Batch Normalization (BatchNorm): - What trainable parameters does BatchNorm have? - Wh...
Explain core ML fundamentals and tradeoffs
ML Fundamentals Interview Prompt Answer the following ML fundamentals questions clearly and with practical examples: 1. Bias vs. variance - What ar...
Implement calculator and graph connectivity
Answer the following coding problems: 1. Implement an arithmetic expression evaluator. Given a string containing non-negative integers, spaces, +, -, ...
Design a search-to-ads ranking pipeline
Prompt Design a high-level search + ads ranking system for an app where a user issues a query and the product shows a mix of organic search results an...
Design a short-video recommender for short-term interest
Scenario You are designing a short-video recommendation system (similar to a swipe/feed product). The system must personalize the feed for each user a...
Find all quadruplets summing to target
Problem Given an integer array nums (length n) and an integer target, return all unique quadruplets [a,b,c,d] such that: - a + b + c + d == target - T...
Model an ads ranking system
Scenario You are designing the modeling approach for an ads ranking system in a feed/search product. Requirements - For each ad impression opportunity...
Describe an innovation you drove end-to-end
Behavioral Question: Innovation Many teams value “innovation,” meaning you can generate and deliver novel, high-impact ideas. Prompt: - Tell me about ...
Design an ads ranking ML system
Prompt You are designing an ads ranking system for a large consumer app (feed/search entry point). For each request, the system receives a user contex...
Design a harmful content detection system
System Design: End-to-End Harmful Content Detection (Multilingual, Multimodal) Context You are designing a safety system for a large, mobile-first, ep...
Explain CLIP, contrastive losses, and retrieval limits
Answer the following ML questions in the context of multi-modal (text–video/image) retrieval: 1) How does a CLIP-style model work conceptually (archit...
Design short-video retrieval with sparse text
You are designing the candidate-generation (retrieval) and recommendation system for a short-video app. Constraints and setting: - Users can search wi...
Explain LLM tuning and transformer basics
Answer the following machine learning questions: - Describe a project where you fine-tuned a large language model or another large foundation model. E...
Design a ranking system pipeline
Answer the following ML system design questions: - Describe the machine learning system you know best. Walk through the problem definition, data sourc...
Design real-time top-K POI retrieval on maps
Real-Time Top-K POIs in Viewport: System Design Context Design a real-time system for a mobile map that continuously shows the top-K points of interes...
Explain core ML concepts and design choices
ML Fundamentals — Interview Questions Instructions Answer the following five ML fundamentals questions. Use precise definitions, equations, and concis...
Determine and print expression to reach target
You are given four numbers and a target T (e.g., 24). Using +, −, ×, ÷ and parentheses, and using each number exactly once, determine whether you can ...
Find nearest room; extend to two users
You are given an m×n grid where 1 is a wall (impassable), 0 is an empty cell, and 2 is a meeting room. From a starting coordinate [r, c], you may move...
Count decodings of a numeric string
Given a string s of digits representing an encoded message where '1' maps to 'A', ..., '26' maps to 'Z', and '0' cannot appear alone (it must be part ...