Interview Experiences

Real candidates, real loops: every round, what was asked, and how it ended.

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138 stories

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MetaSoftware EngineerIntern
Nov 2025

OA, Tech Screen, and Two Team-Match Calls for an ML PhD Intern Offer

I finally landed the 26 summer offer that had been hanging over me. The role is SDE, ML PhD intern. Timeline: Oct 14: HR reached out Oct 24: OA + Tech Screening Nov 2: Two Team Match interviews Nov 10: Moved into the hiring process Nov 26: Offer The OA was basically the same questions people have already shared here, randomly pulled from the question bank — nothing harder than a Hard. Technical I…

OfferOnsite0
MetaData Scientist
Nov 2025

A Bizarre New AR Round on Hand-Waving Accuracy

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OnsiteXP0
MetaMachine Learning Engineer
Oct 2025

A Robot Room Cleaner API Variant

Meta recruiters often say they won't ask hard questions, but there are still interviewers who ask hard problems or hard variants. Robot Room Cleaner API variant. Recording the core approach and the easy-to-miss details here for anyone who needs it. Problem summary The map is unknown, boundaries are unknown You can only interact with the environment through the robot API: move() turnLeft() / turnR…

Onsite0
MetaSoftware Engineer
Oct 2025

Full Loop After a Slow Screen, Rejected With No Feedback

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RejectedOnsiteXP0
MetaData Scientist
Oct 2025

AR, AE, SQL, and BQ Rounds

I interviewed for a Meta DSA onsite a while back and got the offer, so I want to write this down while I still remember it. My takeaway from the interview is that the real thing differs from interview reports in the details, so when you prepare you still need to keep your thinking flexible. Grasp the big picture, but don't just memorize answers. The interviewer wants a fairly quick response — bas…

OfferOnsite0
MetaSoftware Engineer
Oct 2025

Rejected After an Onsite Where the Interviewer Argued Over Big-O Notation

I just got told yesterday that I didn't pass, so I'm reporting back to the forum — and venting a little while I'm at it. Phone: a coding round. OA: a banking-system themed problem. I only passed two rounds, but was told I'd still move on to the onsite. Virtual onsite: System design: the same question as another post I'd already seen on the forum. AI coding: a card game — design a strategy to guar…

RejectedOnsite0
MetaData Scientist
Oct 2025

Four Onsite Rounds, One AR Question Asked Twice

Behavior round: challenging project, diversity, differences in working style, learning. The interviewer was really nice and easy to talk to. AR (Ad Recommendation) round: talking with the interviewer felt really comfortable, and they were very good at controlling the pace of the interview. SQL round: Active Ad Revenue based on different creation source. The question changed a little from what I w…

Onsite0
MetaSoftware Engineer
Oct 2025

Four Onsite Rounds With an AI Coding Segment

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OnsiteXP0
MetaData Scientist
Oct 2025

Bot-Detection Analytics, Shop-Visibility SQL, and a Rejection

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RejectedOnsiteXP0
MetaData Scientist
Oct 2025

Portal Segmentation Case and a Checked-Out Interviewer

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Technical ScreenXP0
MetaData Scientist
Oct 2025

SQL Then a Teen-Safety Product Question

In early May I got an interview invitation from HR, so I scheduled the phone screen for late May. After the interview started, we chatted for about 10 minutes, talking about why I wanted to join Facebook. Then the DS interviewing me asked whether I wanted to start with SQL or a product question. I picked SQL first, and we jumped straight into it: Table: Date, Timestamp, sender_id, receiver_id Thi…

Technical Screen0
MetaData Scientist
Oct 2025

Phone Screen Then a Four-Part Virtual Onsite (SQL, AE, BQ, AR)

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OnsiteXP0
MetaData Scientist
Oct 2025

SQL and A/B Testing Screen, No Offer

There were 2 SQL questions — one to calculate a total and one to calculate a percentage. Neither question was hard, but given how demanding Meta interviews are, you need to think through a lot of edge cases, or you might be done for. The case study covered A/B testing and stats estimation. Also not hard, but you had to grasp the key points accurately and quickly. For A/B testing they wanted to te…

RejectedTechnical Screen0
MetaData ScientistIntern
Oct 2025

A Monetization Case Built Around a Messenger P2P Payments Feature

This was for the Data Science, Analytics (PhD) summer intern position. The interviewer's background was in monetization. His questions followed pretty much the standard pattern you see on the forum — business goal / metric / experiment — and then he dug into specific points based on what I said. Roughly, he asked: Do you think it would be worth adding a Venmo-like peer-to-peer money transfer feat…

Onsite0
MetaData Scientist
Oct 2025

Four-Part Onsite, a Mismatched SQL Round, and IC4 Despite 5+ Years

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In progressOnsiteXP0
MetaData ScientistNew Grad
Oct 2025

Group Video Call Onsite With SQL, AE, AR, and BQ Rounds

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In progressOnsiteXP0
MetaData Scientist
Oct 2025

Onsite Loop with a SQL Live-Coding Slip

AR (Circle): A lot of the questions had already shown up in earlier interview reports, but the interviewer followed up heavily based on how I answered, and I'm honestly not sure whether I actually landed on what she was looking for. AE (Ads in Feed): Most of it was also questions from prior interview reports. The interviewer had a fairly strong accent and her questions weren't always clear, so it…

Onsite0
MetaData Scientist
Oct 2025

Recruiter Flagged a Red Flag on My SQL Metric

AE: The euro-chat question — there's a chatbot used for B2C customer service, and the question was how you'd define success, testing, etc. Behavioral: Standard questions. SQL: The shop visibility question. Overall pretty standard questions, and the last part asked me to define my own metric to prove whether new shops are more active. Afterward the recruiter's feedback said I had a red flag on thi…

Onsite0
MetaData Scientist
Oct 2025

Offer on Christmas Eve After a Screen and a VO

Got the offer on Christmas Eve — sharing it back with the forum. Timeline: Oct 29 — a university recruiter reached out Nov 19 — screening interview with the interviewer Dec 19 — VO (virtual onsite) with the interviewer Dec 24 — offer I was genuinely swamped at the end of the year, and on top of that I knew nothing about product case questions or SQL, so I ended up dragging this whole process out.…

OfferOnsite0
MetaData Scientist
Oct 2025

A Notification Launch Case Built From Adversarial Follow-ups

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Technical ScreenXP0

What are interview experiences?

An interview experience is a candidate's own account of a hiring loop — not a question bank entry. It tells you the shape of the process: how many rounds there were, what each round actually tested, how long the gaps between them ran, and what the recruiter said at the end. That context is the part a question list cannot give you.

How to read them

Weight recent write-ups more heavily — interview loops change, often within a year. Read several for the same company and role rather than one: a single account tells you what one interviewer asked, while five tell you what the bar is. Note the outcome badge too, since a rejection write-up usually explains the gap far more precisely than an offer one.

Share your own

Every published experience earns 50 XP, and each of the first 3 likes it receives in a day earns you 10 XP more. Likes must come from established accounts; like-for-like swaps and likes from your own second account are not paid. Write it while the details are fresh — the round order, the exact prompts, and how much time you were given are what the next reader needs.

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