Senior Ontologist, Artificial General Intelligence (AGI) Info, Web & Knowledge Services
Amazon.com
Amazon’s AGI Information is seeking an exceptional Senior Ontologist to drive ontology advancements. The team is innovating to optimize knowledge graph ontology for LLM understanding.
We're looking for a Sr Ontologist to join us in sunny Santa Barbara and help us build this future. As a member of the team, you will have the opportunity to work on interesting cutting edge problems with immediate customer impact. Your initial focus will be on developing LLM friendly ontologies and you will have the opportunity to work with product managers, engineers, and scientists to develop tools to help on this endeavor.
A successful candidate has a strong background with building knowledge systems to deliver world-class, intuitive, and comprehensive taxonomy and ontology models, a proven track record of innovation to adapt to the new work of LLM, and experience with leading a team of ontologists.
As a Senior Ontologist, you will leverage your technical expertise and experience to demonstrate leadership in modeling large complex knowledge systems.
Your first responsibility will be to structure a team of ontologists to deliver LLM friendly ontology for tens of verticals to feed the Amazon Knowledge Graph with trustworthy, live-updating, high-quality, and accurate structured information about all entities and data of interest to our customers. You will define roadmaps and goals to make progress incrementally and you will insist on delivering results leading by example.
Key job responsibilities
- Develop logical, semantically rich, and extensible data models for Amazon's extensive product catalog
- Ensure our ontologies provide comprehensive domain coverage that are available for both human and machine ingestion and inference
- Create new schema using Generative Artificial Intelligence (generative AI) models
- Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally
- Expand and refine the expansion of data retrieval techniques to utilize our extensive knowledge graph
- Contribute to team goal setting and future state vision
- Drive and coordinate cross-functional projects with a broad range of merchandisers, engineers, designers, and other groups that may include architecting new data solutions
- Develop team operational excellence programs, data quality initiatives and process simplifications
- Evangelize ontology and semantic technologies within and across teams at Amazon
- Mentor and influence peers
We're looking for a Sr Ontologist to join us in sunny Santa Barbara and help us build this future. As a member of the team, you will have the opportunity to work on interesting cutting edge problems with immediate customer impact. Your initial focus will be on developing LLM friendly ontologies and you will have the opportunity to work with product managers, engineers, and scientists to develop tools to help on this endeavor.
A successful candidate has a strong background with building knowledge systems to deliver world-class, intuitive, and comprehensive taxonomy and ontology models, a proven track record of innovation to adapt to the new work of LLM, and experience with leading a team of ontologists.
As a Senior Ontologist, you will leverage your technical expertise and experience to demonstrate leadership in modeling large complex knowledge systems.
Your first responsibility will be to structure a team of ontologists to deliver LLM friendly ontology for tens of verticals to feed the Amazon Knowledge Graph with trustworthy, live-updating, high-quality, and accurate structured information about all entities and data of interest to our customers. You will define roadmaps and goals to make progress incrementally and you will insist on delivering results leading by example.
Key job responsibilities
- Develop logical, semantically rich, and extensible data models for Amazon's extensive product catalog
- Ensure our ontologies provide comprehensive domain coverage that are available for both human and machine ingestion and inference
- Create new schema using Generative Artificial Intelligence (generative AI) models
- Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally
- Expand and refine the expansion of data retrieval techniques to utilize our extensive knowledge graph
- Contribute to team goal setting and future state vision
- Drive and coordinate cross-functional projects with a broad range of merchandisers, engineers, designers, and other groups that may include architecting new data solutions
- Develop team operational excellence programs, data quality initiatives and process simplifications
- Evangelize ontology and semantic technologies within and across teams at Amazon
- Mentor and influence peers
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