Applied Scientist, Search & Information Retrieval
About this role
Job title: Applied Scientist, Search & Information Retrieval
About the Role This is an applied science position focused on building and deploying production-grade search systems that power Westlaw, PracticalLaw, and CoCounsel. You will work across neural information retrieval, semantic and hybrid search, re-ranking, and query understanding — delivering search quality and relevance at scale for legal and professional content.
What You'll Do
- Design, build, and deploy end-to-end neural search systems including dense retrieval, hybrid search, semantic chunking, embedding models, cross-encoders, SLM re-rankers, and transformer-based approaches
- Develop models for query understanding, document re-ranking, and retrieval quality optimisation
- Build evaluation frameworks — component-level and end-to-end — using expert annotation and synthetic data generation
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