Applied Scientist, Catalog AI, Selection and Catalog Systems
Listed on 2026-02-28
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IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Overview
Are you fascinated by the power of Large Language Models (LLM) and applying Generative AI to solve complex challenges within one of Amazon's most significant businesses? Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world's largest e-Commerce products catalog, powering the online buying experience for customers worldwide so they can find, discover and buy anything they want.
Amazon's customers rely on the completeness, consistency and correctness of Amazon's product data to make well-informed purchase decisions.
We develop LLM applications that make Catalog the best-in-class source of product information for all products worldwide. This problem is challenging due to sheer scale (billions of products in the catalog), diversity (products ranging from electronics to groceries) and multitude of input sources (millions of sellers contributing product data with different quality).
Responsibilities- Design and implement LLM-based solutions to improve catalog data quality and completeness
- Conduct experiments and A/B tests to validate model improvements and measure business impact
- Optimize large language models for quality and cost on catalog-specific tasks
- Collaborate with engineering teams to deploy models at scale serving billions of products
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience with Large Language Model (LLM) and Foundational Model fine-tuning, or reinforcement learning techniques
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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company - Services LLC
Job : A3153966
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