Machine Learning Engineer, Search & Recommendations

Perplexity is hiring a Machine Learning Engineer to work on our core search and recommendation systems. You will build and optimize the retrieval-augmented generation (RAG) pipeline that powers our AI answer engine. This role involves designing embedding models, optimizing vector search, and building systems that can retrieve and synthesize information from billions of web pages in real time. You will work at the intersection of information retrieval and large language models. The ideal candidate has experience building production ML systems and a passion for making information more accessible through AI.

- 3+ years of ML engineering experience - Experience with RAG architectures and vector databases - Proficiency in Python and PyTorch - Understanding of transformer architectures and embedding models - Experience with distributed systems - BS/MS in Computer Science or related field