Entity Resolution & Search Engineer

Summary

NimbleFig is a data company that transforms public information into clean, structured, real-time data across news, places, government, and markets. The Entity Resolution & Search Engineer will build entity resolution and record-linkage systems, improve search relevance, evaluate system performance, and maintain an entity graph across data domains.

Responsibilities

• Build and improve entity resolution and record linkage across our platforms
• Design and tune search relevance across large, constantly changing corpora
• Own evaluation: define precision and recall, measure honestly, and improve deliberately
• Grow and maintain the entity graph that connects data across domains
• Turn fuzzy, ambiguous matching problems into systems that hold up in production

Skills

• Experience with entity resolution, record linkage, dedup, or search (lexical or vector)
• Solid information-retrieval or applied-ML fundamentals
• Rigorous about evaluation, not just shipping a model
• Comfortable in Python and working with large datasets
• Built or tuned a production search system (Elasticsearch, a vector DB, or similar)
• Experience with embeddings, ranking, or learning-to-rank
• Familiarity with knowledge graphs or graph data

Qualifications

Must Haves

• Experience with entity resolution, record linkage, dedup, or search (lexical or vector)
• Solid information-retrieval or applied-ML fundamentals
• Rigorous about evaluation, not just shipping a model
• Comfortable in Python and working with large datasets

Nice to Haves

• Built or tuned a production search system (Elasticsearch, a vector DB, or similar)
• Experience with embeddings, ranking, or learning-to-rank
• Familiarity with knowledge graphs or graph data

Benefits

• Remote across the US, or in person in San Francisco
• Real ownership: you will ship work that customers depend on
• A small, senior team with high standards and little process