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
•
Coding
•
medium
Given a table `claude_generations` with columns `user_id`, `prompt_length`, `generation_time_ms`, and `timestamp`, write a SQL query to calculate the 95th percentile latency for each user tier (join with `users` table) over the last 30 days.
#Window Functions
#Percentiles
#Performance Metrics
Data Scientist
•
Coding
•
medium
Given a table `user_interactions`, write a SQL query to find all users who have triggered the safety filter (`is_blocked = TRUE`) more than 3 times within any rolling 24-hour window.
#Rolling Windows
#Self Joins
#Anomaly Detection
Data Scientist
•
Coding
•
medium
Write a SQL query to calculate the rolling 7-day average of human preference win-rates for Claude 3 versus Claude 2, partitioned by the evaluation domain.
#SQL
#Window Functions
#Time Series
Data Scientist
•
Coding
•
medium
Write a SQL query to identify the top 1% most active API users based on token consumption over the last 30 days, excluding internal Anthropic test accounts.
#SQL
#Percentiles
#Filtering
Data Scientist
•
Coding
•
medium
Given a table of human evaluations, write a SQL query to find the specific prompts that have the highest variance in human helpfulness ratings (indicating subjective or ambiguous prompts).
#SQL
#Aggregation
#Statistics
Data Scientist
•
Coding
•
medium
Write a SQL query to find the top 5% of users by token usage who have also triggered the safety filter more than 3 times in the last 30 days.
#Window Functions
#Filtering
#Aggregations
Data Scientist
•
Coding
•
hard
Given a table of user prompts with timestamps, write a SQL query to group these prompts into 'sessions'. A new session starts if there is a gap of more than 30 minutes between prompts.
#Sessionization
#Window Functions
#Time Series
Data Scientist
•
Coding
•
medium
Write a SQL query to calculate the week-over-week retention rate of users who interacted with a specific new model version.
#Cohort Analysis
#Retention
#Self Joins
Data Scientist
•
Coding
•
medium
How would you identify potential prompt injection attempts in our logs using a combination of regex and SQL?
#Regex
#Security
#Text Processing
Data Scientist
•
Coding
•
easy
Write a SQL query to calculate the 7-day rolling average of API requests per organization.
#Moving Averages
#Window Functions
Difficulty Radar
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Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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