Senior Applied Science Manager, AWS Analytics Engineering (AAE)

Do you want to define the multi-year science vision that transforms how millions of customers experience AWS products? Do you want to influence the AWS investment in GenAI technology and see the impact Basic qualifications: - 10+ years of building large-scale machine learning and AI solutions at Internet scale experience - Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent) - Experience building large-scale machine learning and AI solutions at Internet scale - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track Preferred: - 10+ years of practical work applying ML to solve complex problems for large-scale applications experience - 5+ years of hands-on work in big data, machine learning and predictive modeling experience - 5+ years of people management experience - PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent) - Experience in practical work applying ML to solve complex problems for large scale applications - Experience working with big data, machine learning and predictive modeling 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 218,800.00 - 295,900.00 USD annually