"FAANG" companies - Meta, Amazon, Apple, Netflix, Google and their peers - run remarkably similar hiring loops. Once you can see the machine, it stops being intimidating: every stage has a specific job, a specific rubric, and a specific way to prepare for it.
The loop at a glance
The process is a funnel. Each stage exists to cheaply filter out candidates before spending more expensive interviewer time on them. Your job is to understand what each filter is actually testing - because it is rarely the thing it looks like.
Stage by stage
- 1
Recruiter screen
Filter20-30 minA conversation about your background, motivation and logistics (level, location, timeline). Low technical bar, but this is where level and comp expectations are first set - come with a target. - 2
Technical phone screen
1-2 rounds45-60 min1-2 coding problems in a shared editor. Correct, working code under time pressure - plus clear communication of your thinking. The single biggest filter in the whole loop. - 3
The on-site / virtual loop
Core4-6 hrsThe main event: several back-to-back rounds - coding, system design (for senior+), and behavioral. Each interviewer scores independently against a rubric and writes detailed feedback. - 4
Hiring committee / debrief
DecisionasyncInterviewers (and, at Google, a separate committee that never met you) review the written packet and calibrate a hire / no-hire decision. Your feedback matters more than your vibe. - 5
Team match & offer
Close1-3 wksAt some companies you interview for a specific team; at others (notably Google) you are hired first, then matched. Then the recruiter returns with an offer - the start of the negotiation, not the end.
What each round scores
Interviewers aren't grading a single "did they solve it" bit. They score several signals per round, and a brilliant solution with poor communication can still be a no-hire. Roughly what each round is really measuring:
| Round | What it looks like | What it's actually scoring |
|---|---|---|
| Coding | 1-2 DSA problems, live | Problem-solving, code quality, communication, testing - not just the answer |
| System design | Design an open-ended system | Handling ambiguity, trade-offs, scale, depth - senior+ only |
| Behavioral | "Tell me about a timeβ¦" | Ownership, collaboration, impact, self-awareness |
| Domain / role | Specialised (ML, mobile, infra) | Depth in the specific craft you were hired for |
How long it takes
From first recruiter contact to a signed offer, six to ten weeks is typical - longer if team matching is involved. Plan backwards: the highest-leverage two weeks are the ones before the technical screen, because that round eliminates the most people.
- Weeks 0-1: recruiter screen, scheduling, level-setting.
- Weeks 1-3: technical phone screen(s).
- Weeks 3-6: the full loop.
- Weeks 6-10: debrief, team match, offer and negotiation.
How the companies differ
The skeleton is shared, but each company bolts its own culture onto it. The differences change how you prepare:
- Amazon weights behavioral heavily against its 16 Leadership Principles, and a "bar raiser" sits in the loop with veto power. See the Amazon Interview Guide.
- Google uses an independent hiring committee and prizes "Googleyness" and general cognitive ability. See the Google Interview Guide.
- Meta runs a fast, coding-heavy loop and matches you to a team after you pass.
- Netflix leans less on algorithm puzzles and much more on real-world seniority, judgment and its "keeper test" culture.
How to prepare
Prep maps cleanly onto the stages. Don't spread yourself evenly - weight your time toward the highest-filter rounds.
- Coding: drill the recurring shapes rather than grinding random problems - the LeetCode Patterns guide covers the ~15 that recur.
- System design (senior+): build a repeatable structure from the System Design Fundamentals.
- Behavioral: prepare 6-8 stories once, in STAR format, and reuse them across companies.
- Mocks: the single best predictor of loop performance is rehearsing under realistic pressure with someone who has actually run these interviews.
Sources & further reading
- 1Amazon Leadership Principles (official) β Amazon
- 2How we hire β Google Careers
- 3What to expect in the interview process β Meta Careers
- 4Salary data by company and level β levels.fyi