Data Scientist, Analytics (Ranking, AI) at Meta
About the role
Summary: Ranking AI is the central core machine learning org within Meta's Monetization group, powering Meta's revenue and business growth by advancing and deploying state-of-the-art Recommendation Systems AI for our Ads stack. We are currently redesigning the large and fragmented Ads model space by developing new modeling architectures, advancing the scale limit through model-hardware co-design, and developing techniques that better leverage anonymized, aggregated data. While there is signific…
Interview process at Meta
Fast-paced, coding-first, with a strong signal on product intuition and behavioral. Meta moves quickly - expect back-to-back rounds.
- Recruiter screen (30 min)
- Technical phone screen - 2 coding problems in 45 min
- Full loop (5 rounds): 2 coding + 1 system design (senior+) + 1 behavioral + 1 hiring manager
- Team match
- Offer
Platforms used: Karat, internal loop
How to prepare
MiPrep helps you rehearse the specific cadence and question types Meta interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.