Amazon Advertising is one of Amazon’s fastest-growing and most profitable businesses, driving discovery and sales through a collection of innovative advertising products. Sponsored Products (SP), a core offering, leverages innovative technology, including Generative AI (Gen AI) and Large Language Models (LLMs), to help advertisers, retail vendors, and brand owners succeed. By combining AI-powered solutions with data-driven insights, we enable advertisers to meet their business objectives while enhancing the shopping experience for millions of customers. The Sponsored Products Targeting and Performance Estimation team plays a crucial role in enabling advertisers to meet their targeting needs and maximize performance. Our mission is to build innovative solutions using AI that optimize targeting precision and relevance, ultimately driving incremental sales for advertisers and creating a better shopping experience for customers. Leveraging data from billions of ad impressions and millions of clicks, we’re committed to pushing the boundaries of advertising technology.
About the Role
Are you passionate about developing innovative AI technologies and shaping the future of advertising? We are looking for a talented and inventive Applied Scientist with expertise in Generative AI, LLMs, Machine Learning (ML), Natural Language Processing (NLP) and optimization to join our Sponsored Products Targeting and Performance Estimation team. In this role, you will focus on leveraging these expertise to build scalable targeting solutions that enhance ad relevance and performance. You will design advanced algorithms that enable advertisers to maximize their ROI while delivering value to Amazon shoppers.
This is an opportunity to apply your expertise to real-world problems, impact millions of customers, and contribute to the advancement of AI in one of Amazon’s most innovative spaces.- 3+ years of building models for business application experience
- 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
- 2+ years working with NLP and LLMs- Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.
- Published research work in academic conferences or industry circles.
- Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.
- Technical leadership in machine learning.
- Effective verbal and written communication skills with non-technical and technical audiences.
- Experience working with real-world data sets and building scalable models from big data.
- Thinks strategically, but stays on top of tactical execution.
- Exhibits excellent business judgment; balances business, product, and technology very well.
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.
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
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
