Interview questions
Scale AI AI engineer interview questions (2026)
5 real interview questions reported by engineers who interviewed at Scale AI, spanning Forward Deployed Engineering, AI Engineering. Every question is scored against a golden answer on the things Scale AI actually grades, architecture, token efficiency, security and correctness, not just whether your code runs.
Scale AI AI Engineering questions
- Hallucination Detection Pipeline Fails On Contradictory Claims Against Context
Your hallucination detection pipeline is supposed to flag responses that contain claims not supported by the retrieved context. It is passing responses that clearly contradict the
- Computer Vision Pipeline: Image Acquisition Through Classification and Detection
Explain a typical computer vision pipeline.
- Insurance Claims Agent with RAG, Cost-Optimized LLM Integration
Design an insurance-claims "agent" system that ingests claims and outputs an approval decision using RAG and infra/storage choices while controlling LLM/token cost.
Scale AI Forward Deployed Engineering questions
- Unify Three Messy Datasets for an Emergency-Response Model
A city wants to use your platform to cut 911 emergency response times. They hand you three messy sources: 911 call logs, city traffic data, and ambulance GPS pings, different forma
- Stand Up an Eval Harness for a Customer's LLM Feature
A customer shipped an LLM-powered feature (summarizing support calls) but has no way to tell if a prompt or model change makes it better or worse, they change things and hope. You
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