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 Engineer
•
Technical
•
medium
Explain how you would diagnose and optimize a PySpark job that is failing due to OutOfMemory (OOM) errors caused by severe data skew.
#Spark
#Performance Tuning
#Data Skew
Data Engineer
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Technical
•
hard
How does Apache Kafka ensure exactly-once semantics? In what scenarios would you choose at-least-once over exactly-once for Anthropic's data pipelines?
#Kafka
#Distributed Messaging
#Semantics
Data Engineer
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Technical
•
medium
Describe the trade-offs between columnar storage formats like Parquet and row-based storage formats like Avro. Which would you choose for storing tokenized LLM training data and why?
#Storage Formats
#Big Data
#I/O Optimization
Data Engineer
•
Technical
•
medium
How do you ensure data quality and detect statistical drift in a continuous ingestion pipeline feeding an active learning system?
#Data Quality
#Anomaly Detection
#Observability
Data Engineer
•
Technical
•
hard
Explain how you would implement backpressure in a streaming data pipeline. What happens if the downstream consumer (e.g., an ML inference endpoint) goes down?
#Streaming
#Architecture
#Resilience
Difficulty Radar
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Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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