Senior Manager of Applied Science and Machine Learning

Join a cutting-edge team of scientists dedicated to developing Agentic AI, large language models (LLMs), and deep learning solutions to enhance seller experiences at Amazon. Our mission spans the entire Seller life cycle, focusing on recruitment, growth, support, and risk mitigation, all while delivering exceptional experiences for both customers and sellers. If you are passionate about building innovative algorithmic systems that manage the trust and safety of millions of daily interactions, we want to hear from you! As a Senior Manager in the Selling Partner Services (SPS) Machine Learning Accelerator (MLA) team, you will lead a group of scientists to research and prototype advanced Machine Learning applications addressing strategic business challenges across SPS domains. Collaborating closely with engineers and business partners, you will design and implement scalable solutions that benefit the entire SPS organization. Your responsibilities will include: Developing large-scale solutions for impactful projects. Introducing tools and techniques to tackle problems from various perspectives. Influencing the technical strategy of the team through insightful contributions to priorities, approaches, and planning. Mentoring junior team members and participating in hiring efforts. BASIC QUALIFICATIONS Master's degree in Computer Science, Machine Learning, Statistics, Operations Research, or a similar highly quantitative field. 8+ years of experience in relevant scientific domains, including 4+ years in a management role. 4+ years of hands-on experience with machine learning, deep learning, and large data analysis. Broad knowledge of machine learning with a strong depth of understanding. Proficiency in Spark, Python, Perl, or other statistical/mathematical software. Experience with neural deep learning methods. PREFERRED QUALIFICATIONS PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a related highly quantitative field. 8+ years of experience in relevant scientific domains, including at least 6 years managing science and engineering teams. 6+ years of hands-on experience in predictive modeling and large data analysis. Excellent verbal and written communication skills, as well as strong data presentation abilities. Expertise in large language models or the ability to quickly develop this expertise. Outstanding problem-solving skills. Amazon is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Our inclusive culture empowers all employees to deliver the best results for our customers. If you need accommodations during the application or hiring process, including support for interviews or onboarding, please reach out to our recruiting partner. This position offers competitive compensation based on geographic location and relevant experience. The salary ranges from $196,900 to $340,300 annually, with additional forms of compensation available as part of the total package, alongside comprehensive medical, financial, and other benefits. Apply now to make a significant impact!

Created: 2026-03-04