Principal Applied Scientist, Sponsored Products and Brands

Principal Applied Scientist, Sponsored Products and Brands Are you the right applicant for this opportunity Find out by reading through the role overview below. Job ID: 3103340 | Services LLC The Sponsored Products (SP) team is looking for a Principal Scientist to help our millions of shoppers intuitively navigate our vast inventory by harnessing the power of ML and GenAI models. Amazon Advertising is one of Amazon’s fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, SP helps merchants, retail vendors, and brand owners succeed via native advertising, growing incremental sales of their products sold through Amazon. The SP team’s primary goals are to help shoppers discover new products they love, to be the most efficient way for advertisers to meet their business objectives, and to build a sustainable business that continuously innovates on behalf of customers. Our products and solutions enable our Retail and Marketplace businesses to drive long‑term growth, delivering billions of ad impressions and millions of clicks and breaking fresh ground in product and technical innovations every day. Key Job Responsibilities You define technical and scientific strategies to make progress on difficult scientific problems that are still unsolved at Amazon. Your influence scientific and engineering methods across all of Sponsored Product and Sponsored Brand. You invent new scientific techniques and paradigms to address our customers’ needs and business problems. You are a role model and help grow other scientists in the organization. You have deep and broad expertise in Artificial Intelligence and GenAI and draw from scientific and industrial maturity to make strategic judgement calls. You have 10+ years of research experience after a PhD degree. Required Qualifications PhD or equivalent in Computer Science/Math or related field. Experience in building complex, real‑time systems using GenAI, with successful delivery to customers. Computer Science fundamentals in data structures, algorithm design and complexity analysis. Ability to develop machine learning platform strategy in the domain of recommender systems. Ability to develop a GenAI strategy for recommender systems. Preferred Qualifications 10+ years of relevant, broad research experience after PhD degree or equivalent. Deep expertise and knowledge of Generative AI methods involved in pre/post training, LLM optimizations for performance and throughput. Proficiency in programming for algorithm and code reviews. Strong core competency in mathematics and statistics. Track record of successful projects in algorithm design and product development. Publications at top‑tier peer‑reviewed conferences or journals. Experience with mentorship and/or management of senior scientists and engineers. 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. Demonstrated track record of project delivery for large, cross‑functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. 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, please visit 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 $179,000/year in our lowest geographic market up to $309,400/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. xrczosw Applicants should apply via our internal or external career site. #J-18808-Ljbffr