I applied through a recruiter. The process took 2 weeks. I interviewed at Meta (New York, NY) in Jun 2018
Interview
There is not much analytics involved in the interview at all, which I found jarring. The more open ended business question is gauging how you think up solutions for certain ideas. I think my interviewer was just in a rush to get it over with and kept saying he only has x amount of minutes left. I also did not receive the conferencing links for the coding or video. It was rather unprofessional, one of the more unprofessional ones I have experienced. Its not as difficult as they lead you to believe, you just need to be able to write code for simple problems on the spot. Just found both recruiters unflexibility to change to reschedule based on my work, inability to send all pertinent links for this interview, and the interviewers lack of care to be overall unprofessional and discourteous.
Interview questions [2]
Question 1
How would you measure or determine someone to be your best friend on Facebook? What would this look like and how would you approach it?
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.
