Description Do you want to join an innovative team of scientists, engineers and technologists who use AI and machine learning to help Amazon provide the best experience to our Selling Partners by automatically understanding and addressing their challenges, needs and opportunities? Do you want to build agentic systems that transform the business landscape, powered by state-of-the-art AI, such as Large Language Models, Deep Learning, Computer Vision and Causal Modeling, to seamlessly engage with Sellers? Are you excited by the prospect of analyzing and modeling terabytes of data and creating advanced algorithms to solve real world problems? Do you like to build end-to-end business solutions, central to Amazon's tech strategy, that directly impact the profitability of the company and experience of our customers? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Seller Experience Innovation team. Key job responsibilities * Lead team to use AI, machine learning and statistical techniques to create the next generation of the agentic tools that empower Amazon's Selling Partners to succeed. * Design, develop and deploy highly innovative AI models to interact with Sellers and delight them with solutions. * Guide teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features. * Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. * Lead research program to implement novel machine learning and statistical approaches. * Lead strategic initiatives to employ the most recent advances in AI in a fast-paced, experimental environment. * Drive the vision and roadmap for how ML can continually improve Selling Partner experience. * Represent the team as a science leader across Amazon and in public settings. Basic Qualifications * PhD or Masters Degree in Computer Science, Machine Learning, Statistics, or a related quantitative field. * 4+ years experience of managing successful teams. * 7+ years industry experience building successful production science systems. * Experience with machine learning technologies, Deep Learning, large language models (LLMs), information retrieval and/or related applications. * Experience communicating with executives and non-technical leaders. * Strong Computer Science fundamentals in data structures, algorithm design, and statistics. * Ability to map business problems to appropriate science solutions. Preferred Qualifications * 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 infrastructure for business applications. * Effective verbal and written communication skills with non-technical and technical audiences. * Experience working with large real-world data sets and building scalable models from big data. * Exhibits excellent business judgment; balances business, product, and technology very well. * Experience in developing agentic AI systems. 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 $196,900/year in our lowest geographic market up to $340,300/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.