Machine Learning Engineer, Ranking & Retrieval

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer, Ranking & Retrieval based in United States. This is an experienced machine learning role focused on building the systems that determine search relevance and surface the most useful information to users. You will own the full ML lifecycle for ranking and retrieval, from model training and feature development through deployment and production serving. The role operates at significant scale, working with large volumes of user-generated content across a multi-tenant platform where permission-aware retrieval is essential. You will design and improve hybrid lexical and vector retrieval systems while advancing query understanding and semantic search capabilities. Your work will directly influence how users discover information and how AI systems access the right context. You will collaborate closely with Search Infrastructure, AI, and backend engineering teams to bring ranking improvements into production. This is an opportunity to solve complex search and retrieval problems while contributing to an AI-native productivity platform.

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