Highlights
Collaborate with cross-functional teams including machine learning engineers to implement scalable knowledge management and decision support solutions across global systems. Position Requirements: Master"s degree or foreign equivalent degree in Library Science, Information Systems, Linguistics, or a related field and five years of experience in the job offered or a related occupation.
Numbers & Facts
| Location | Seattle, WA |
| Industry | Retail |
| Salary | $124,500–$179,700 Per Year |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
Description
MULTIPLE POSITIONS AVAILABLE
Employer: AMAZON.COM SERVICES LLC
Offered Position: Ontologist III
Job Location: Seattle, Washington
Job Number: AMZ10279636
Position Responsibilities:
Design and develop decision support systems for automated catalog management and change request handling. Architect knowledge infrastructure that integrates ontologies, knowledge bases, taxonomies, and classification systems to enable intelligent workflow automation. Build structured knowledge repositories and semantic frameworks that support automated decision-making processes. Develop classification logic and queries using AI techniques including Knowledge Representation and Reasoning. Serve as technical bridge between domain experts (Ontology/Taxonomy teams) and Software Engineering teams, translating business requirements into implementable system architectures. Apply knowledge graph platform development and support full-stack software engineering to design end-to-end solutions. Create and maintain product catalog structures, classification hierarchies, and metadata schemas. Collaborate with cross-functional teams including machine learning engineers to implement scalable knowledge management and decision support solutions across global systems.
Position Requirements:
Master"s degree or foreign equivalent degree in Library Science, Information Systems, Linguistics, or a related field and five years of experience in the job offered or a related occupation. Must have five years of experience in the following skills: (1) experience in data retrieval and data research techniques; (2) creating and communicating technical requirements to engineering teams; (3) experience with generative AI (creating prompts); (4) experience with Semantic Web technologies (RDF/s and OWL), query languages (SPARQL), and validation and reasoning standards (SHACL and SPIN); and (5) experience with open-source and commercial ontology engineering editors (Protege, TopQuadrant products, and PoolParty).
Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
40 hours / week, 8:00am-5:00pm, Salary Range $124,500/year to $179,700/year.
Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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, visit:
https://www.aboutamazon.com/workplace/employee-benefits.#0000
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles