Sr. Manager, Applied Science, GenAI, Amazon Advertising - Creative X

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which Basic qualifications: * 5+ years experience managing applied science or machine learning teams, including 2+ years managing other managers or team leads. * 7+ years applied science experience in computer vision, multimodal understanding, or content moderation and trust and safety. * Experience delivering production machine-learning models for content understanding, quality assessment, or safety and moderation. * PhD, or Master's degree and 7+ years experience in CS, CE, ML, or a related field. Preferred: * Advanced degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. * Experience building or scaling a science organization across multiple sub-domains as a manager of managers. * Published research in academic conferences or industry venues in computer vision, multimodal learning, or content understanding. * Depth in one or more of: computer vision, vision-language models, content moderation and trust and safety, quality and aesthetics assessment, evaluation and benchmarking methodology, metadata and attribute extraction, or similarity and retrieval. * Experience building large-scale machine-learning models and infrastructure from large, real-world datasets. * Effective verbal and written communication with technical and non-technical audiences. * Thinks strategically while staying on top of tactical execution, and exhibits excellent business judgment balancing product, science, and operational trade-offs. 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, NY, New York - 240,600.00 - 325,500.00 USD annually USA, WA, SEATTLE - 218,800.00 - 295,900.00 USD annually