Palantir
Big data analytics company for defense, intelligence, and enterprise.
5 Rounds
~28 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
Machine Learning Engineer
•
System Design
•
hard
Design a real-time anomaly detection system for a massive stream of financial transactions, ensuring sub-second latency.
#Stream Processing
#Machine Learning
#Scalability
Machine Learning Engineer
•
System Design
•
hard
Design a machine learning deployment platform that can operate in strictly air-gapped environments with no internet access.
#Deployment
#Security
#Infrastructure
Machine Learning Engineer
•
System Design
•
medium
Design a feature store capable of serving both high-throughput batch training and low-latency real-time inference.
#Databases
#Data Pipelines
#MLOps
Machine Learning Engineer
•
System Design
•
hard
Design a scalable system to ingest, process, and run computer vision models on daily satellite imagery updates for global supply chain monitoring.
#Computer Vision
#Distributed Systems
#Batch Processing
Machine Learning Engineer
•
System Design
•
hard
Design a Retrieval-Augmented Generation (RAG) system over a corpus of highly classified documents, where users have different row-level access permissions.
#NLP
#Security
#Search
Machine Learning Engineer
•
System Design
•
medium
Design an alerting system that monitors thousands of predictive maintenance models and notifies engineers when equipment failure probability exceeds a threshold.
#Monitoring
#Event-Driven Architecture
#Scalability
Machine Learning Engineer
•
System Design
•
hard
Design a distributed graph processing pipeline to continuously update entity resolution models as new intelligence data arrives.
#Graph Databases
#Entity Resolution
#Data Pipelines
Machine Learning Engineer
•
System Design
•
medium
Design a system to track data provenance and model lineage so that if a data source is corrupted, we can identify all affected downstream ML models.
#Data Governance
#DAGs
#Metadata Management
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.