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Ontologist, Product Knowledge

Amazon

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3 open ontologist roles across 1 companies are on ApplySarthi right now.

What ontologist roles keep asking for: Generative AI (67%), Machine learning (67%) — counted across their open postings here.

Generative AI jobs · Machine learning jobs

Amazon has 16,175 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

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Interviews for ontologist roles keep coming back to Generative AI, Machine learning. Practise those questions before you sit with Amazon.

Questions you are likely to be asked

  1. Why do you want to join Amazon?
  2. What is your experience with Generative AI? Tell me one thing you learned the hard way.
  3. What is a weakness you are working on, and how?
  4. Tell me about yourself, and why this role is the right next step.
  5. Tell me about a problem you solved at work that you are proud of.

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The vision of the Product Knowledge Ontology Team is to provide a standardized, semantically rich, easily discoverable, extensible, and universally applicable body of product knowledge that can be consistently Basic qualifications: - Bachelor's degree or equivalent - Degree in Library Science, Information Systems, Linguistics or equivalent professional experience - 3+ years of relevant work experience working in ontology and/or taxonomy roles - Proven skills in data retrieval and data research techniques - Ability to quickly understand complex processes and communicate them in simple language - Ability to communicate knowledge-based requirements and needs to engineering and retail teams - Familiarity with Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN) - Detail-oriented problem-solving, ability to work in fast-changing environment and manage ambiguity - Proven track record of strong communication and interpersonal skills Preferred: - Master’s degree in Library Science, Information Systems, Linguistics or other relevant fields - Experience building data models in the e-commerce and semantic search spaces - Experience working with schema-level constructs (e.g. higher-order classes, punning, property inheritance) - Familiarity with software engineering life cycle - Familiarity with ontology manipulation programming libraries - Exposure to GenAI, data science and/or machine learning, including graph embeddings Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 91,000.00 - 159,200.00 USD annually USA, WA, Seattle - 82,700.00 - 144,700.00 USD annually

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Listed on amazon · posted 2026-11-06. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.