Applied Scientist Product Knowledge GenAI
Applied Scientist Product Knowledge GenAI
Posted on :
18-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
18-04-2025
Job Description
Lead the development of AI models to power Amazons eCommerce ontology a key source of product knowledge driving exceptional customer experiences.
Applied Scientists in this role solve problems related to product classification attribute extraction ontology modeling data integration and enrichment and scalable knowledge services. Its challenging due to the vast scale heterogeneous data sources and evolving domains but exciting for pushing boundaries in ML NLP and knowledge representation research.
If youre passionate about driving innovation at scale we want to hear from you!
Key job responsibilities
Lead the research and development of novel AI solutions to enrich and curate Amazons product ontology (Product Knowledge) at scale
Develop scalable data processing pipelines and architectures to ingest transform and enrich product data from various sources (seller listings customer reviews etc.
Collaborate with engineers to design and implement robust services
Work closely with product managers stakeholders and subject matter experts to identify opportunities for innovation and drive the roadmap for Product Knowledge
Mentor and upskill junior scientists and engineers fostering a culture of continuous learning and knowledge sharing
Communicate complex technical concepts and research findings effectively to diverse audiences including leadership crossfunctional teams and the wider scientific community
Stay uptodate with the latest advancements in machine learning natural language processing knowledge representation and related fields and identify opportunities to apply them to Product Knowledge
A day in the life
The Amazon product ontology is a structured knowledge base representing product types attributes classes and relationships. It standardizes product data enabling enhanced customer experiences through improved search and recommendations streamlined selling processes and internal data enrichment across Amazons eCommerce ecosystem.
You will work with following stakeholders:
Product Managers represent customer experiences and selling partner experiences
Category Leaders (e.g. apparel electronics) provide domain knowledge and guidance as subject matter experts
Engineers build and maintain data pipelines and services in production
Ontologists design data models and define guidelines
Other Applied Scientists collaborate on research and innovation
About the team
The Product Knowledge team at Amazon is dedicated to creating the industrystandard eCommerce product and services ontology. Our diverse team of applied scientists engineers ontologists and subject matter experts build a comprehensive ontology enabling exceptional customer and selling partner experiences through highquality contextual product knowledge at scale.
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Applied Scientists in this role solve problems related to product classification attribute extraction ontology modeling data integration and enrichment and scalable knowledge services. Its challenging due to the vast scale heterogeneous data sources and evolving domains but exciting for pushing boundaries in ML NLP and knowledge representation research.
If youre passionate about driving innovation at scale we want to hear from you!
Key job responsibilities
Lead the research and development of novel AI solutions to enrich and curate Amazons product ontology (Product Knowledge) at scale
Develop scalable data processing pipelines and architectures to ingest transform and enrich product data from various sources (seller listings customer reviews etc.
Collaborate with engineers to design and implement robust services
Work closely with product managers stakeholders and subject matter experts to identify opportunities for innovation and drive the roadmap for Product Knowledge
Mentor and upskill junior scientists and engineers fostering a culture of continuous learning and knowledge sharing
Communicate complex technical concepts and research findings effectively to diverse audiences including leadership crossfunctional teams and the wider scientific community
Stay uptodate with the latest advancements in machine learning natural language processing knowledge representation and related fields and identify opportunities to apply them to Product Knowledge
A day in the life
The Amazon product ontology is a structured knowledge base representing product types attributes classes and relationships. It standardizes product data enabling enhanced customer experiences through improved search and recommendations streamlined selling processes and internal data enrichment across Amazons eCommerce ecosystem.
You will work with following stakeholders:
Product Managers represent customer experiences and selling partner experiences
Category Leaders (e.g. apparel electronics) provide domain knowledge and guidance as subject matter experts
Engineers build and maintain data pipelines and services in production
Ontologists design data models and define guidelines
Other Applied Scientists collaborate on research and innovation
About the team
The Product Knowledge team at Amazon is dedicated to creating the industrystandard eCommerce product and services ontology. Our diverse team of applied scientists engineers ontologists and subject matter experts build a comprehensive ontology enabling exceptional customer and selling partner experiences through highquality contextual product knowledge at scale.
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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