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Meta interview notes, page 118 of 238

FAANG / Big Tech

Most of these Meta write-ups come from Software Engineers (1,194), then Data Scientists (489) and Product Managers (453). The most reported rounds are the technical phone screen (1,190), the product sense round (466), the system design round (255) and the behavioral / leadership round (205).

2377 interview notes · updated Jul 2026

Meta·Machine Learning Engineer·Onsite - System Design / Architecture

May 2026
ML system design round at Meta for an MLE role. The prompt was designing the recommendation page for Facebook Marketplace, which sounds scoped but opens up into a pretty deep rabbit hole once you start thinking about candidate retrieval, ranking, and cold start.
  • Design a machine learning recommendation system for the Facebook Marketplace feed.

“Spent probably too long on the problem framing before getting into the actual ML components.”

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Meta·Machine Learning Engineer·Onsite - System Design / Architecture

May 2026
ML system design round at Meta for an MLE role. The whole session was one big open-ended design question about local place recommendations, and they expected you to drive the conversation across a lot of different dimensions. Felt like it went okay but there were definitely parts I glossed over that probably mattered.
  • Design an ML system that recommends nearby places (restaurants, attractions, shops) to users in a maps or local discovery product.

“This is basically a full-stack ML design question and the scope is massive.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

May 2026
Interviewed for a PM role at Meta, got a product analytics question that seems straightforward but has some real depth to it once you start pulling the thread.
  • What are the risks or downsides of collecting more user data than you need, or gathering too many survey responses?

“I went straight to privacy concerns and GDPR-type stuff, which felt safe but I could tell they wanted more.”

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Meta·Data Analyst·Technical Phone Screen

May 2026
Meta data analytics interview, one question about retention modeling for a subscription product. Pretty open-ended, which I wasn't fully prepared for.
  • How would you design an analysis to understand what drives long-term user retention in a subscription service?

“I went straight to cohort analysis and survival curves, which felt right, but I fumbled when they pushed on how I'd separate correlation from causation.”

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Meta·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Meta marketing interview, one question about a campaign I'd run. Pretty standard behavioral setup but I fumbled the structure a bit.
  • Walk me through a marketing campaign you ran that you'd consider a success.

“I picked a campaign I was proud of but spent too long on the backstory and barely got to the results before they moved on.”

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Meta·Software Engineer·Technical Phone Screen

May 2026
Meta SWE coding round, one question, tree traversal with a range filter. Pretty straightforward but there are a few ways to approach it and I second-guessed myself more than I should have.
  • Given a binary tree and two integers representing a range, find the sum of all node values that fall within that range (inclusive).

“My first instinct was to just do a full traversal and add up whatever fits, which works fine.”

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Meta·Software Engineer·Technical Phone Screen

May 2026
Meta SWE interview with a maze exploration problem that sounds deceptively simple until you're actually in it. The question is all about navigating unknown state with limited primitives, which is harder to reason about cleanly under pressure than it looks on paper.
  • You're controlling a mouse in a 2D maze with no knowledge of the maze's dimensions or your absolute position. You only have three operations: move one step forward (returns false if blocked), turn left, and turn right. There's cheese somewhere in the maze. Design an algorithm that guarantees the mouse finds the cheese, using relative coordinates to track visited cells. Argue correctness and analyze complexity.

“The part that tripped me up initially was the coordinate tracking.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

May 2026
Meta PM interview with a product design question centered on a hiking app. Pretty comprehensive prompt covering users, MVP, roadmap, trade-offs, metrics, and GTM all in one go.
  • Design a mobile app for hikers. Who are you building it for and what core problem does it solve?
  • What would you ship first as an MVP, and how does the product grow from there?
  • What are the main design constraints or trade-offs you're making with this product?
  • How would you measure whether this product is succeeding, and what would you instrument from day one?
  • Walk me through your go-to-market plan. How do you get people to actually download and use this app?

“I started by splitting users into casual day hikers vs.”

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Meta·Data Scientist·Technical Phone Screen

May 2026
SQL-heavy screen for a Data Scientist role at Meta, centered on hashtag follow behavior data. Nothing too wild but the percentage breakdown question had a bit of a wrinkle that I didn't fully anticipate going in.
  • Given a table of hashtag follow events and a table of hashtag safety classifications, which hashtag source (e.g. feed vs hashtag page) gained the most followers on a given day?
  • Of the users who followed a hashtag via the 'hashtag page' source, what percentage followed hashtags that are flagged as 'violating'?

“Pretty straightforward aggregation.”

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Meta·Data Scientist·Onsite - Behavioral / Leadership

May 2026
Behavioral round at Meta for a data science role, all four questions were cross-functional or stakeholder-flavored. Nothing too surprising if you've done this type of loop before, but the ads/sales angle meant they wanted examples that touched revenue or business impact, not just internal tooling.
  • Tell me about a time you disagreed with a stakeholder about what to build or which metric to prioritize. How did it get resolved?
  • Describe a situation where your analysis led to a decision that others were initially pushing back on.
  • How do you navigate a cross-functional project when the requirements aren't well-defined yet?
  • Walk me through how you handle a sudden shift in priorities that throws off work you already had planned.

“This is the one I overprepared for and still fumbled a little.”

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