Product Data Scientist, Search Quality

Perplexity is an AI-powered search engine that provides direct answers with citations rather than a list of links, combining the convenience of a chatbot with the source transparency of traditional search. The product has grown rapidly as an alternative to Google for research and question-answering tasks, particularly among technically sophisticated users. The company is venture-backed and growing quickly, with ambitions to reshape how people access information.

Engineering at Perplexity spans LLM inference infrastructure, web crawling and indexing, retrieval-augmented generation pipelines, and the product surfaces across web and mobile. The company operates at the frontier of applying large language models to search at scale, which requires significant investment in inference optimisation and real-time retrieval systems. Python is central to the stack, with significant work in CUDA-level inference optimisation and distributed systems for low-latency responses. It is a small team with very high per-engineer impact.