I applied through an employee referral. I interviewed at Meta
Interview
Since this is a new grad role, facebook is interviewing a lot of people at the same time. Instead of engaging in a conversation, the interviewer only cared about the "THE RIGHT ANSWER" in mind which is a canned answer facebook provided in advance and refused to discuss any other methods, which doesn't make sense for such an open-ended question. I get that predefined questions + predefined answers help speed up recruiting at such scale, however, only repeating the questions without evaluating candidates on their thinking process and refusing the discuss /explore any other potential methods is disappointing. I doubt that facebook can select the best talents in this way.
Process:
First recruiter call, asked about background and 4 easy sql questions (join,ordering syntax etc)
Next first round consisting a 20 minute product question and 20 min coding question.
The coding question is very easy and can be done in either sql or python (or R ). The product part is where I am most disappointed about the interviewer.
Interview questions [1]
Question 1
product question: how would you detect if there is a conversation under a post?
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.
