I applied through an employee referral. I interviewed at Meta
Interview
applied through an employee referral.
didn't hear from the HR for months until the referral asked again.
contacted by HR for phone screening. went through resume and asked about previous experience, projects worked on, desired position, etc.
Then a phone interview. An employee called, chatted a little bit, and then went to technical questions.
Interview questions [2]
Question 1
business sense:
There are two types of cars A and B. The number of people in US who use A
and B are the same. They drive the same distances each month.
Now there are two new technologies, X and Y (of equal cost).
If apply X, mpg of A would increase from 50 mpg to 75 mpg;
If apply Y, mpg of B would increase from 10 mpg to 11 mpg.
The goal is to decrease the dependence on foreign oil, or to decrease the
consumption of gasoline.
Question: which technology would you apply?
Follow up question: after applying the technology of your choice, assume
there's money available for research on new technology, which car would you
choose to conduct research on?
data question:
dialoglog
(userid int
appid int
type char , a flag either "imp" or "click"
ds timestamp
)
How would you access the quality of app?
How to compute click-through rate (in mySQL)?
Tough interview overall—definitely not what I expected. The technical rounds were intense, particularly when they had me design an A/B test for the News Feed ranking algorithm. I had to discuss metrics and sample sizes in detail. Lucky for me, the time I spent on PracHub right before the interview helped me nail that deep-dive question as it mirrored what I practiced. The behavioral questions felt standard but were still challenging. After a whirlwind process, they extended an offer, which I happily accepted.
Interview questions [1]
Question 1
Design an A/B test to evaluate a new ranking algorithm for the Facebook News Feed. Walk through metric selection (engagement, time-spent, MSI, well-being), unit of randomization given network effects between friends, sample size and power calculations, how you'd detect novelty effects vs. true lift, and how you'd handle a guardrail metric regressing while the primary metric is up.
Total 7 rounds: first round for resume screening, second for technical screening, then for on-site virtual with 4 interviews back to back, then hiring manager round after team matching and then salary negotiation with HR
Interview questions [1]
Question 1
Meta’s evaluation rubrics focus heavily on "Product Thinking over Fancy Math". Interviewers want to see if you can operate like a product owner with an analytical mindset, navigating messy scenarios affecting billions of users
The Interview Process is very structured -
First Tech Screening round - 45 mins (usually can extend a bit depending on the interviewer)
- 2 SQL Questions ( Medium to Hard ) - based on Joins
Full Loop - 4 rounds 45 mins each.
- SQL
- Behavioral
- Analytical Execution - stats & prob, A/B testing, case study
- Analytical Reasoning - Case study
Interview questions [1]
Question 1
Questions on Bayes Theorem, Probability distribution, etc.
