Instagram Engineering

Overview

Instagram is the largest photo and short-form video product Meta operates, and the team writes from the perspective of running Reels, Stories, and Explore for 2B+ monthly users on constrained mobile hardware. The blog's sweet spot is three-fold: large-scale recommendation pipelines that personalize Explore through candidate generation plus ranking, mobile video encoding pipelines tuned to cut compute without hurting quality, and ML applied to product UX problems like notification fatigue. For interview prep, 'Scaling the Instagram Explore recommendations system' is the article to read before any 'design a recommendations feed' question, and 'Reducing Instagram's basic video compute time by 94 percent' is excellent background for media-pipeline design.

Interview questions

• What are the key engineering challenges at Instagram?
• Which Instagram blog posts are most useful for interviews?
• What system design topics map to Instagram's engineering challenges?

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