Amazon
Senior Applied Scientist, Product Knowledge
Amazon, Seattle, Washington, us, 98127
Senior Applied Scientist, Product Knowledge
Job ID: 2773266 | Amazon.com Services LLCLead the development of cutting-edge AI models to power Amazon's eCommerce ontology - the authoritative 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. It's 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 you're 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 Amazon's product ontology (Product Knowledge) at scaleDevelop 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 servicesWork closely with product managers, stakeholders, and subject matter experts to identify opportunities for innovation and drive the roadmap for Product KnowledgeMentor and upskill junior scientists and engineers, fostering a culture of continuous learning and knowledge sharingCommunicate complex technical concepts and research findings effectively to diverse audiences, including leadership, cross-functional teams, and the wider scientific communityStay up-to-date with the latest advancements in machine learning, natural language processing, knowledge representation, and related fields, and identify opportunities to apply them to Product KnowledgeA 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 Amazon's eCommerce ecosystem.You will work with following stakeholders:Product Managers represent customer experiences and selling partner experiencesCategory Leaders (e.g., apparel, electronics) provide domain knowledge and guidance as subject matter expertsEngineers build and maintain data pipelines and services in productionOntologists design data models and define guidelinesOther Applied Scientists collaborate on research and innovationAbout the team
The Product Knowledge team at Amazon is dedicated to creating the industry-standard 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 high-quality, contextual product knowledge at scale.BASIC QUALIFICATIONS
4+ years of applied research experience3+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.Experience with large scale distributed systems such as Hadoop, Spark etc.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.Posted:
August 23, 2024
(Updated about 3 hours ago)
#J-18808-Ljbffr
Job ID: 2773266 | Amazon.com Services LLCLead the development of cutting-edge AI models to power Amazon's eCommerce ontology - the authoritative 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. It's 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 you're 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 Amazon's product ontology (Product Knowledge) at scaleDevelop 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 servicesWork closely with product managers, stakeholders, and subject matter experts to identify opportunities for innovation and drive the roadmap for Product KnowledgeMentor and upskill junior scientists and engineers, fostering a culture of continuous learning and knowledge sharingCommunicate complex technical concepts and research findings effectively to diverse audiences, including leadership, cross-functional teams, and the wider scientific communityStay up-to-date with the latest advancements in machine learning, natural language processing, knowledge representation, and related fields, and identify opportunities to apply them to Product KnowledgeA 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 Amazon's eCommerce ecosystem.You will work with following stakeholders:Product Managers represent customer experiences and selling partner experiencesCategory Leaders (e.g., apparel, electronics) provide domain knowledge and guidance as subject matter expertsEngineers build and maintain data pipelines and services in productionOntologists design data models and define guidelinesOther Applied Scientists collaborate on research and innovationAbout the team
The Product Knowledge team at Amazon is dedicated to creating the industry-standard 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 high-quality, contextual product knowledge at scale.BASIC QUALIFICATIONS
4+ years of applied research experience3+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.Experience with large scale distributed systems such as Hadoop, Spark etc.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.Posted:
August 23, 2024
(Updated about 3 hours ago)
#J-18808-Ljbffr