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Ontologist, Product Knowledge

Amazon.com Services LLC

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2 open ontologist roles across 2 companies are on ApplySarthi right now.

What ontologist roles keep asking for: Generative AI (50%), Machine learning (50%) — counted across their open postings here.

Machine learning jobs

Amazon.com Services LLC has 4,316 open roles listed here.

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

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Questions you are likely to be asked

  1. Why do you want to join Amazon.com Services LLC?
  2. What is your experience with Machine learning? 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: - Experience building ontologies, taxonomies, and semantic relation frameworks - 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) - Knowledge of open-source and commercial ontology engineering editors (e.g. Protégé, TopQuadrant products, PoolParty) - 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 ontologies 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 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, WA, Seattle - 82,700.00 - 144,700.00 USD annually

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Listed on amazon · posted 2026-07-16. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.