Anthropic
AI safety and research company behind Claude, focusing on constitutional AI.
5 Rounds
~20 Days
Very Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Data Scientist
•
Technical
•
medium
We recently rolled out a new Constitutional AI principle that makes Claude more harmless, but initial A/B tests show a 5% drop in user retention. How do you analyze this trade-off and what is your recommendation?
#A/B Testing
#Trade-off Analysis
#Product Analytics
Data Scientist
•
Technical
•
hard
You notice that Claude 3 Opus performs better overall on a benchmark than Claude 3 Sonnet, but when you break the data down by language (English, Spanish, Mandarin), Sonnet outperforms Opus in every single category. Explain how this is statistically possible.
#Simpson's Paradox
#Data Analysis
#Confounding Variables
Data Scientist
•
Technical
•
medium
How would you determine the required sample size for human annotators grading Claude's helpfulness to achieve statistical significance, given historically high variance in inter-rater reliability?
#Sample Size Calculation
#Inter-rater Reliability
#Hypothesis Testing
Data Scientist
•
Technical
•
medium
Explain how you would handle Simpson's Paradox if you noticed it while analyzing human feedback data across different demographic groups of annotators.
#Statistics
#Data Analysis
#Bias
Data Scientist
•
Technical
•
medium
How do you determine the required sample size for a human evaluation task where the baseline win rate is 52% and we want to detect a 1% absolute improvement with 95% confidence?
#A/B Testing
#Power Analysis
#Statistics
Data Scientist
•
Technical
•
easy
What statistical test would you use to compare the latency distributions of two different inference engine configurations, given that latency is heavily right-skewed?
#Hypothesis Testing
#Non-parametric Stats
Data Scientist
•
Technical
•
medium
Given a dataset of human preference ratings for RLHF, how would you identify and correct for annotator bias or inconsistent grading?
#RLHF
#Data Quality
#Statistical Testing
Data Scientist
•
Technical
•
medium
If we want to detect a 0.1% increase in severe safety violations (a very rare event), how would you calculate the required sample size for the A/B test?
#A/B Testing
#Sample Size
#Rare Events
Data Scientist
•
Technical
•
medium
Describe a scenario where Simpson's Paradox might occur in our model evaluation data, and how you would resolve it.
#Data Analysis
#Causal Inference
#Probability
Data Scientist
•
Technical
•
hard
How would you use a Bayesian approach to establish an upper bound on the probability of Claude generating a harmful response, given zero observed failures in a sample of 10,000 prompts?
#Bayesian Statistics
#Risk Assessment
Data Scientist
•
Technical
•
hard
How would you estimate the causal impact of a new Constitutional AI principle on long-term user retention, given that we cannot run a perfectly randomized control trial for months?
#Causal Inference
#Observational Data
#Retention
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
SimulateUnwritten Rules
Think Out Loud
Always explain your thought process before writing code or drawing architecture.