Ph3Senior Applied Scientist, Catalog AI, Amazon Selection and Catalog Systems /h3pJob ID: | Amazon.com Services LLC /ppAre 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, it powers 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. /ppWe 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). We are seeking a passionate, talented, and inventive individual to join the Catalog AI team and help build industry-leading technologies that customers will love. You will apply machine learning and large language model techniques, such as fine-tuning, reinforcement learning, and prompt optimization, to solve real customer problems. You will work closely with scientists and engineers to experiment with new methods, run large-scale evaluations, and bring research ideas into production. /ph3Key job responsibilities /h3ulliDesign and implement LLM-based solutions to improve catalog data quality and completeness /liliConduct experiments and A/B tests to validate model improvements and measure business impact /liliOptimize large language models for quality and cost on catalog-specific tasks /liliCollaborate with engineering teams to deploy models at scale serving billions of products /li /ulh3Basic Qualifications /h3ulli5+ years of building machine learning models for business application experience /lili8+ years of applied research experience /liliPhD, or Master's degree and 6+ years of applied research experience /liliExperience programming in Java, C++, Python or related language /liliExperience with neural deep learning methods and machine learning /li /ulh3Preferred Qualifications /h3ulliExperience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. /liliExperience with large scale distributed systems such as Hadoop, Spark etc. /liliExperience researching about machine learning, deep learning, NLP, computer vision, data science /liliExperience with Large Language Model (LLM) fine-tuning, prompt engineering, distillation, cost-optimization or reinforcement learning techniques /li /ulpAmazon 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. /ppOur compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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. /ppbPosted: /b January 28, 2026 (Updated about 9 hours ago) /ppbAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. /b /p /p #J-18808-Ljbffr