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🎯 Interview Experience
[OpenAI/Anthropic/DeepMind] Patterns I noticed interviewing across several AI labs
AAnonymous6/24/202613 views
Did loops at a bunch of GenAI-heavy companies (labs + a few startups) over the last few months. The patterns that held across almost all of them:
- Classic LeetCode is fading: more real-codebase tasks and "work with the model" rounds.
- They probe depth on something you claim to know, hard, so pick your resume keywords carefully.
- The behavioral / values round carries way more weight than at FAANG, often the actual filter.
- Seniors frequently skip the OA via referral, but never the deep-dive.
Single best prep: be able to talk about your own past projects cold. The deep-dive is universal.
Comments (3)
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AAnonymous #16/24/2026
Point 1 is so true now. I prepped 200 LeetCode problems and barely used them; every lab wanted me to navigate a real repo or reason with a model instead.
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AAnonymous #26/25/2026
Point 3 took me three rejections to internalize. I was treating behavioral as the warm-up. It is the interview.
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AAnonymous (OP)6/25/2026
Yeah, I'd genuinely flip the prep ratio from what most LeetCode-era advice says. Less grind, more "can I defend my own decisions and work fluently with a model."