- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of building complex software systems experience
- Bachelor's degree or above in statistics, business analytics, data analytics, data science, computer science or related field
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 - 158,100.00 - 213,800.00 USD annually
Our Org
Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world’s largest e-Commerce products catalog. Our high scale distributed systems process hundreds of millions of updates on the billions of products to power the online buying experience for hundreds of millions of Amazon's customers worldwide, so they can find, discover and buy anything they want 24x7x365.
Our Team
Product Knowledge (PK) is a comprehensive set of schematic and semantic constructs that allows us to understand customer’s intent to provide an experience that feel targeted to their shopping missing. It expands beyond factual product characteristics (e.g. resolution of a TV) to the product characteristics our customer’s use in their shopping missions – what the product is used for (e.g. baby-proofing), where the product is used (e.g. kitchen), who uses the product (e.g. teenager), when the product is used (e.g. thanksgiving) and opinions about the product (e.g. cute t-shirt). We build distributed systems that are partially or entirely powered by AI and ML. The system will be responsible for scaling the discovery of Product Knowledge by mining customer engagements (e.g. search queries, customer reviews etc.)
Our Mission
Enable customer shopping journeys on Amazon by modeling an standardized, semantically rich, easily discoverable, extensible, and universally applicable body of product knowledge that can be consistently utilized across customer shopping experiences, selling partner listing experiences and internal enrichment of product data.
We're looking for a software engineer who has strong technical skills and is able to drive technical efforts that have high impact and visibility. This role has a number of opportunities for cross-boundary ownership and require cross-organizational technical leadership skills to create seamless solutions that reliably work end-to-end. The engineer will develop by technologies and systems that heavily leverage Large Language Models (LLM) and Generative AI technologies. You will solve challenging technical problems - and this will entail learning about applying latest AI technologies, designing and developing distributed systems, and web services. You will innovate day-in and day-out, beyond the "textbook solutions".
This is a great opportunity for engineers who want to work with latest AI technologies, and create reliable and scalable solutions that enable Amazon to create the largest and best possible selection for our customers. Come and help make history as we take e-Commerce to the 5 billion people on earth who do not have it today while having fun and learning a lot on the way!
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