NADIA. GIRL. you were right about everything and i should have listened from the start but no i had to go bomb my first Anthropic loop to figure that out myself.
ok here is what happened. 11am Zoom call. i woke up at 10:47, threw on the hoodie i slept in, grabbed coffee that went cold before the call even started. interviewer goes "what failure mode of LLMs worries you most." i say "hallucinations" like that is some brilliant original take. she does not nod. does not react. waits. then "ok what changes about that when you give an agent tool use." and my brain just. nothing. actual white noise. could not even come up with a BAD answer. mumbled something about verification steps and she did the face. you know the face? three failed loops at three different companies, i have seen that exact look every single time. means the round is done and you are both running out the clock pretending it is not.
so yeah. bombed it. spent two months after that fixing everything wrong with my prep and nobody told me any of this going in so here it all is.
twelve behavioral stories ready to go. team conflicts, shipping under pressure, greatest hits type stuff. ZERO hours on AI safety. not one. at Google and Meta nobody asks what you think about what you are building. you build it and ship it and go home. at Anthropic? might be the single question that decides your whole loop. Nadia works at a different AI lab and she kept yelling at me about this for weeks. "they do not want you to know the buzzwords they want to see if you have actually lost sleep over it." yeah ok Nadia sure whatever. did not listen lol.
Nadia called me that night and the first thing she said was "did they ask you about alignment" and i was like yeah. "and you said hallucinations." yeah. she did not even need to say anything else.
Anthropic sent me a document about their values before the interview and they expected me to have read it. asked about privacy concerns in AI systems. asked what i would do if i found a model capability that could cause harm. asked about a time i raised a concern my team did not want to hear. this is not Amazon "tell me about a conflict." they want to know if you care about what your code does after you ship it. OpenAI tests for this too according to Nadia, less about safety specifically, more about whether you can talk about the impact of what you are building on real people without sounding rehearsed. this part is also where leveling decisions get made which most people do not realize. i did not find STAR helpful, if you have real stories to tell you are good to go but the stories need to be about ethics and impact, if all you have is "we shipped fast under pressure" that is not going to cut it here.
coding. ninety minutes. nothing like classic whiteboard problems. they told me to build a key-value store. SET GET DELETE to start, then filtered scans, then TTL expiration with timestamps, then file persistence with compression. four stages each one stacked on the last and my interviewer kept tacking on constraints the SECOND i finished a stage, like a coworker who keeps changing the spec on you mid-sprint. drove me insane. Nadia said her OpenAI screen ran the same way, one hour building something real. OpenAI also does this deep-dive thing where you present a system you built and they rip apart every choice you made which sounds terrifying honestly.
the part that wrecked me in coding was not the problems. it was talking through my approach. when i do normal programming i experiment and start writing with the idea that i will refactor later. you cannot do that when you have ninety minutes and someone watching you and adding requirements every fifteen minutes. on my second attempt i forced myself to slow down. like i would repeat the question back in my own words and build a few example inputs before writing anything. Nadia actually drilled me on this, she would stop me mid sentence and go "ok but what are the corner cases" and i would have to think about it out loud. started outlining my approach and thinking about complexity before touching the keyboard. even confirming with the interviewer that the direction seemed reasonable before i started typing. then writing slowly and debugging with my own examples after. it felt painfully slow in practice but it actually made me faster because i stopped going down wrong paths and having to rewrite everything.
system design. oh man. on a completely different planet from FAANG system design. nobody asked me to design a URL shortener. nobody asked me about a chat service. Anthropic wanted me to design inference serving infrastructure for millions of requests while keeping GPU usage high with different model sizes. batching requests, managing KV cache memory, routing to the right instance, how latency builds through a transformer pipeline. my interviewer BUILT their serving stack. like he personally wrote it. he knew within two minutes that my prep came from generic YouTube videos and i could feel that same vibe from the first call where she asked about hallucinations. like ok this person has not done the work. OpenAI asks similar stuff about scaling inference from what Nadia described. you need actual experience with these systems, there is no shortcut and i am not going to pretend there is. i had worked on serving infrastructure at a previous job but i still needed time to organize what i knew and figure out how to talk about it without rambling. also if you need a distributed queue and never touched one just call it "distributed queue." do not dig yourself into details you cannot defend.
timeline stuff since people always ask. Anthropic took about three weeks from recruiter call to answer. Nadia said OpenAI took six weeks which almost killed her, she was refreshing her email like a maniac. Anthropic splits the onsite into two separate half-day sessions, two or three rounds each. OpenAI does one long day. ghosting between stages is normal at both. recruiters are buried. if you get an offer ask for thirty to forty five minutes with one of the interviewers. have a meeting just for asking questions. listen carefully because at that point they are selling you.
so i ran InterviewMan during my second Anthropic attempt and some OpenAI mocks. on the coding challenge it caught that i forgot to check TTL on reads before moving to the next level, exactly the kind of thing i would have missed because i was focused on getting to stage four. during the safety round it fed me alignment talking points and i answered the tool-use-and-hallucinations question without my brain going white noise blank this time lol. remember that moment from my first loop where i just froze? did not happen. on system design it caught GPU usage and batching as the core topics before my interviewer finished the prompt. checked dock, process list, Activity Monitor on Zoom and Replit and CodeSignal. nothing. twelve bucks a month annual, no session caps, 57,000 users, 20 plus stealth features. Interview Coder at two ninety nine does coding only which is useless for the safety round and system design that account for maybe half your score at these places.
Nadia told me to have a good alternative before i negotiate and i thought she was being dramatic. but she was right, the best alternative is to be doing great at your current job. takes all the desperation out of your prep which makes you interview better anyway. she was right about basically everything lol i should have listened from the start.
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