Perplexity - AI/ML Engineer Job Preparation Guide

✨ Inside This Preparation Guide:

• 350+ Perplexity-specific questions focused on search AI, RAG & LLM systems
• Deep-dive into RAG - vector databases, embedding models & re-ranking pipelines
• Real Perplexity technical patterns - research-heavy ML coding & LLM system design
• Search AI design - query understanding, answer synthesis & hallucination reduction
• LLM evaluation - quality metrics, factuality benchmarks & user feedback loops
• Web-scale AI infrastructure - crawling, indexing, retrieval & low-latency model serving
• Behavioral prep - speed, intellectual honesty, curiosity & build-in-public culture
• ATS-friendly Resume & LinkedIn templates
• Complete roadmap to crack Perplexity ML Engineer & LLM Systems Engineer interviews