Applied Science Manager, AWS Startups, AWS Startups

Trusted by more startups around the world, AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the world's largest companies. Basic qualifications: - 4+ years of applied research experience - 3+ years of scientists or machine learning engineers management experience - PhD, or Master's degree and 4+ years of applied research experience - Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval - Experience in one of the following programming languages: Java, Python, Ruby, Node.js, C#, or C Preferred: - Experience building machine learning models or developing algorithms for business application - Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Experience in delivering results managing a business intelligence or analytics team, including employee development and performance management - Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda - Experience communicating results to senior leadership, or experience using complex financial models, KPIs, and data analysis to inform strategic business decisions and influence cross-functional stakeholders, with proven business impact (e.g., financial savings, operational improvements, or customer benefits) - Experience hiring, developing, and managing high-performing technical teams 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 - 183,800.00 - 248,700.00 USD annually