Principal Applied Scientist
Tasks
- Architect graph driven search and hybrid retrieval
- Build knowledge grounded semantic architectures
- Define evaluation frameworks for intent accuracy and entity grounding
- Develop graph grounded RAG and agentic systems
- Drive principled system building with measurable impact
- Establish modeling and experimentation standards across teams
- Mentor senior scientists and set cross org technical direction
Perks/Benefits
- N/A
Skills/Tech-stack
Entity Grounding | Entity Linking | GNNs | Graph Embeddings | Graph Neural Networks | Information Retrieval | Intent modeling | Knowledge graphs | Knowledge representation | Language Models | Language Processing | Large Language Models | Machine Learning | Multimodal Learning | Natural Language | Natural Language Processing | Neural Networks | Ontology Design | Ranking Systems | Retrieval-Augmented Generation | Semantic Parsing | Semantic indexing
Education
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