Remote Entity Resolution & Search Engineer - Real Ownership

NimbleFig; California; Hybrid; USD 175,000 - 240,000; Full time

Benefits offered by this job

Remote across the US

In-person in San Francisco

Real ownership

Small senior team

Job summary

NimbleFig is a data company that builds and maintains data platforms turning public information into clean, structured, real-time data for people and machines. You will join a small, senior team focused on correctness and search quality.

You will design, implement, and evaluate entity resolution and ranking systems, work with embeddings, and scale a knowledge-graph-like entity graph to support cross-domain data. Remote options nationwide with SF in-person collaboration are available.

Qualifications

• 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.

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

Entity resolution

Information retrieval

Evaluation metrics

Python

Large datasets

Production search system

Embeddings

Knowledge graphs

Tools

Elasticsearch

Vector DB

Python

Job description

NimbleFig is a data company that builds and maintains data platforms turning public information into clean, structured, real-time data for people and machines. You will join a small, senior team focused on correctness and search quality.

You will design, implement, and evaluate entity resolution and ranking systems, work with embeddings, and scale a knowledge-graph-like entity graph to support cross-domain data. Remote options nationwide with SF in-person collaboration are available.