I applied through a recruiter. The process took 4 weeks. I interviewed at Meta (Menlo Park, CA) in Feb 2019
Interview
I received an unprompted email from a recruiter and after learning what the position was I agreed to interview. The first step was a 45 minute video interview where I was asked to write SQL code and answer a few case study type questions related to their products. The recruiter suggested I use R or Python instead of SQL for this step, but when I was asked the interview question it was very clear that SQL was the best choice of coding language to use. After this step I was brought on for an onsite which consisted of 4 different 30 minute interview rounds, each of which had a different focus (statistics, technical product sense, business product sense, and a SQL whiteboard coding interview). Recruiters were incredibly useful in providing information and preparing me for the interview. In hindsight I did not take enough advantage of the recruiters and the information they provided. I was treated really well throughout the process.
Interview questions [1]
Question 1
Draw a sample distribution of average daily views by users for Instagram.
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.