Software Dev Engineer, GenAI, Product Knowledge
Amazon
Job Overview
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Job Description
Our Organization
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 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 feels targeted to their shopping missions. It expands beyond factual product characteristics (e.g., resolution of a TV) to the product characteristics our customers 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 a 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.
The Role
We're looking for a Software Dev Engineer, GenAI, Product Knowledge 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 requires cross-organizational technical leadership skills to create seamless solutions that reliably work end-to-end. The engineer will develop 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 the 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 the 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!
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 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
Preferred Qualifications
- Bachelor's degree or above in statistics, business analytics, data analytics, data science, computer science or related field
Key skills/competency
- Generative AI
- Large Language Models (LLM)
- Distributed Systems
- Machine Learning (ML)
- System Design
- E-commerce
- Data Mining
- Scalability
- Web Services
- Technical Leadership
How to Get Hired at Amazon
- Research Amazon's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on the Product Knowledge team's impact.
- Tailor your resume: Customize your resume to highlight experience in Generative AI, LLMs, distributed systems, and large-scale data processing relevant to e-commerce.
- Showcase technical depth: Prepare to discuss complex software system design, reliability, scaling, and your hands-on experience applying advanced AI technologies.
- Master Amazon's leadership principles: Be ready to provide specific examples of how you demonstrate each principle in past projects or roles during behavioral interviews.
- Practice system design and coding: Hone your skills in designing scalable, fault-tolerant distributed systems and demonstrate strong problem-solving abilities in coding challenges.
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