Anthropic Interview Trend Analysis

Overall Trends

Anthropic has been one of the hottest interview targets over the past three months, with 80 posts ranking among the highest for any single company. The interview process is highly standardized, using a fixed question bank (Coding Q1-Q6, SD Q1-Q5), and candidates can see their assigned question numbers on the ModernLoop portal. The hiring bar is extremely high — multiple candidates with big-tech experience reported being rejected despite completing all questions, and recruiters rarely provide meaningful feedback.

The overall focus is clear: Coding emphasizes concurrency/multithreading + Python implementation skills, System Design focuses on real LLM Inference systems, and the Culture round stresses AI Safety conviction. [hidden]

Question Type Distribution

Top 10 High-Frequency Topics

Difficulty Trends

Overall difficulty is high and consistent. The coding questions themselves are not algorithmically hard (no Hard LC), but follow-up depth is significant:

• Concurrency/multithreading is a near-universal follow-up for all coding questions. [hidden]
• Systems thinking follow-ups are frequent: [hidden]
• System Design has no diagrams — [hidden]
• The Culture round difficulty is severely underestimated — [hidden]

Notable Changes

1. Q2 shifting from File Dedup to LRU Cache: [hidden]
2. SD question number/prompt confusion: [hidden]
3. New SD Q2 Prompt Playground: [hidden]
4. Research Engineer can choose from four options: [hidden]
5. New OA question types: [hidden]
6. Recruiter prompt "misdirection": [hidden]
7. High rejection rate, little feedback: [hidden]