Clickup
Machine Learning Engineer, Ranking & Retrieval
United States, Remote. Posted 2 months ago
The role
You will own the full ML lifecycle for ranking and retrieval to power search relevance. You will build systems for ranking models, hybrid retrieval, and query understanding on a multi-tenant platform.
What you will do
- Train, deploy, and serve ranking models in production
- Build ranker features, training pipelines, and offline evaluation frameworks
- Design and scale hybrid retrieval combining lexical and vector search
- 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
Required qualifications
- 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 building hybrid (lexical + vector) retrieval systems
- Experience running embedding inference at large scale
- Strong query understanding fundamentals: intent modeling, query expansion
Nice to have
- Permission-aware retrieval and multi-tenancy experience
- Indexing large-scale user-generated content
- Hands-on experience with OpenSearch or Elasticsearch
- Sharding, index management, and real-time ingestion at scale
- Background in NLP, semantic search, or agentic retrieval
- Experience with TypeScript in backend systems
Before you apply
- AI fluency is evaluated as part of the hiring process
- Sponsorship for engineering and product roles is not guaranteed and is based on business needs
About the company
ClickUp is an AI-native company building a converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search.