Machine Learning Engineer, Ranking & Retrieval
Descrizione dell'offerta
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Machine Learning Engineer, Ranking & Retrieval ClickUp is seeking an experienced Machine Learning Engineer to join our Search team. You'll own the ML systems that power search relevance for millions of users and ground our AI in the right context. Your Impact at ClickUp You'll own the full ML lifecycle for ranking and retrieval, from training through deployment and production serving. Our search indexes large-scale, user-generated content across a multi-tenant platform where permissions-aware retrieval is critical. You'll build the systems that decide what surfaces first. Core Responsibilities Train, deploy, and serve ranking models in production, owning the full ML lifecycle Build ranker features, training pipelines, and offline evaluation frameworks Design and scale hybrid retrieval combining lexical and vector search (including HNSW with disk offloading) Run embedding inference at billions-of-documents scale Improve query understanding through intent modeling and query expansion Build permissions-aware retrieval that respects multi-tenant boundaries Create measurement frameworks to evaluate and improve search quality Collaborate with Search Infrastructure, AI, and backend teams to integrate ranking improvements across the platform Technical Requirements Bachelor's degree in Computer Science, Machine Learning, or related field 5+ years of ML engineering experience focused on ranking, retrieval, or information retrieval Proven full ML lifecycle ownership: training, deploying, and serving models in production Hands-on ranker model training: feature engineering, pipelines, offline evaluation Experience
Dettagli
- Azienda: ClickUp
- Sede: Remoto
- Tipo di contratto: Tempo pieno
- Fonte: ashby
- Valido fino al: 10 ottobre 2026
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