Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world’s largest e-Commerce products catalog. Within this organization the Product Knowledge Classification team is seeking an experienced Software Development Engineer for designing and implement solutions for classifying all products into the Catalog. The problem space consists on developing systems capable of identifying what a product is, mining product information to determine how a product across its different functions should be classified for browsing and searching purposes at high precision, scaling across marketplaces and languages.

Key job responsibilities
You will build distributed systems that are powered by LLMs and multi-modal ML models. The GenAI based systems are responsible for handling continuous incoming traffic of products entering the catalog, classifying them using an ensemble of ML models and techniques, building applications for analyzing product composition, mining product signals such as images, text and unstructured data to drive true understanding of product knowledge. As an engineer you will work to build solutions to real world problems, partnering closely with Scientists working in cutting edge machine learning, natural language processing, computer vision and artificial intelligence. The ideal candidate has worked on systems productionizing LLM and multi-modal ML based systems in one or several of the following fields: Generative Artificial Intelligence, Prompt Engineering, Classification Systems, Clustering, Natural Language Processing, Search, Personalization, Streaming Infrastructure and MLOps. A successful candidate will have an established background in building innovative systems from inception to production, scaling systems with large data sets, developing customer-facing experiences, and making data-driven decisions.

About the team
We are seeking an outstanding Software Engineer to help us build a cutting edge suite of services, that impact systems across the Amazon catalog. Our customers span all Amazon retail businesses, Search, Personalization and services that rely on Product Knowledge information’s precision. Ultimately our work ensures that customers browsing or searching always find the right products in the right destinations for navigation and discovery purposes in the Amazon retail website.

BASIC QUALIFICATIONS

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

PREFERRED QUALIFICATIONS

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. 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, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.