J'ai postulé via la recommandation d'un employé. J'ai passé un entretien chez Anthropic (Seattle, WA) en mars 2026
Entretien
I applied for the role through internal referral. Currently I am holding a senior position at FANNG company. I have to learn python in order for the coding and I prepared for a week on code signal, where I think is not very efficient. My problem was to build an employee working hour tracking system with promotions and calculate salary. The problem itself is not hard, just need a lot of typing. Along the way, I was trying to show how, such as good method name and good sub functions also incremental debugging through test cases. I almost got through level 3 since I am running the tests one by one. And then I got rejected with a no-reply email. I think I understood what they are looking for wrong. Maybe they are looking for coding speed? I am a bit surprised with all the agent available, coding velocity is used as a screen method, to shred very experienced engineers. I couldn't make much sense of this process.
Autres retours d’entretien d’embauche pour un poste comme Software Engineer chez Anthropic
They sent me an automated CodeSignal test before I ever spoke to a human, which consisted of 4 stages of the same problem with each stage getting progressively more complex. Did not progress beyond this stage.
Questions d'entretien [1]
Question 1
They sent me an automated CodeSignal test before I ever spoke to a human, which consisted of 4 stages of the same problem with each stage getting progressively more complex. Did not progress beyond this stage.
The interview loop at Anthropic is completely different from the standard FAANG pipeline. They do not care about your ability to speed run algorithms. The entire process is built around "First Principles" thinking and writing extremely robust and safe code. After the recruiter screen, I had a deep dive pair programming session with an engineer. It felt much more like a collaborative work session than a test. They want to see how you handle edge cases and system failures in real time. I was asked to build a reliable message ingestion component that could handle streaming data with unpredictable latency spikes.
J'ai passé un entretien chez Anthropic (San Francisco, CA)
Entretien
Applied online, had an initial recruiter screen and a few technical rounds. Did not make it to onsite. Questions were pretty difficult and thoughtful, different than typical coding and system designs online.