Senior Applied Scientist - Knowledge Graphs & AI

Knowledge Graph Design & Construction: Design and implement entity resolution and ontology population within established graph schemas. Write and optimize queries for graph traversal…

Build pipelines that extract structured knowledge from unstructured conversational and document data (sales calls, emails, CRM notes), including coreference resolution, relation extraction…

Contextual Reasoning & Recommendation: Implement graph traversal logic and feature queries that feed downstream scoring signals. Build and maintain features for deal risk…

Train and evaluate link prediction and node classification models using established graph embedding methods. Implement evaluation pipelines and track model performance over time.

Solid engineering fundamentals. You can write production-quality code, not just prototype notebooks. You can write clean…

Demonstrated ability to build and evaluate ML models. You've trained models, measured performance using appropriate metrics, and iterated on results.

Take end-to-end responsibility for research and model development initiatives, from problem formulation and data analysis through experimentation, production deployment, and ongoing performance monitoring…

Good communication skills. You can explain technical concepts to engineers and product managers.