[Remote] Applied Science Manager, Sponsored Products and Brands -- Offsite

Note: The job is a remote job and is open to candidates in USA. Amazon is a leading technology company re-imagining the advertising landscape through generative AI technologies. The Applied Science Manager will lead a team of scientists and engineers to develop machine learning and AI solutions that enhance advertising outcomes and shape product direction.ResponsibilitiesLead Applied Scientists, Machine Learning Engineers, and Software Development EngineersSurface qualitative and quantitative insights as the voice of the advertisers to shape product direction and ensure product-market fitDevelop science and engineering roadmaps to increase advertiser outcomes with ML and GenAI solutions, run annual planning, and foster cross-team collaboration on model developmentHire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organizationStay informed about recent scientific publications, industry trends, and system designsWork with off-Amazon publishers to launch new high-impact placements that increase advertiser outcomesDevelop and own mechanisms to track and improve advertiser performanceDistill complex ideas complex thoughts, succinctly, adapting to the medium of communicationSkills4+ years of applied research experience3+ years of scientists or machine learning engineers management experience3+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceKnowledge of ML, NLP, Information Retrieval and AnalyticsExperience programming in Java, C++, Python or related languageExperience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customersExperience in practical work applying ML to solve complex problems for large scale applicationsExperience working with big data, machine learning and predictive modelingExperience in people managementExperience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etcBenefitsSign-on paymentsRestricted stock units (RSUs)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) matchingPaid time offParental leaveCompany OverviewAmazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. It was founded in 1994, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees. Its website is https://amazon.com.Company H1B SponsorshipAmazon has a track record of offering H1B sponsorships, with 3262 in 2026, 22803 in 2025, 21175 in 2024, 19057 in 2023, 24088 in 2022, 12233 in 2021, 14881 in 2020. Please note that this does not guarantee sponsorship for this specific role.