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","New York, NY","coloredLogo","logoAttachment","thumbnail","thumbnailAttachment","hexCode","#080D0C","headline","Publisher of Inc. and Fast Company, empowering innovators and entrepreneurs.","/companies/mansueto-ventures-careers","hasJobSubmission","isSavedJob","similarJobs",[521,535,547,555,564],{"_435":434,"_440":522,"_470":471,"_462":463,"_248":444,"_447":444,"_433":434,"_113":523,"_437":438,"_439":199,"_472":471,"_448":199,"_449":524,"_431":530,"_473":474,"_436":120,"_487":488,"_478":531,"_489":523,"_490":532,"_492":493,"_494":533,"_496":534},["D",1774656000000],"Sr. Applied Scientist, Amazon Advertising",[525],{"_458":459,"_454":526,"_452":527,"_456":528,"_460":529},"Austin","Austin, TX, United States, 78716","TX","78716",["B","2839568834"],"/jobs/2839568834-sr-applied-scientist-amazon-advertising","Austin, TX, United States","/jobs?location=Austin%2C+TX%2C+United+States","/jobs?keyword=Sr.+Applied+Scientist%2C+Amazon+Advertising",{"_435":434,"_440":536,"_470":471,"_462":463,"_248":444,"_447":444,"_433":434,"_113":523,"_437":438,"_439":199,"_472":471,"_448":199,"_449":537,"_431":543,"_473":474,"_436":120,"_487":488,"_478":544,"_489":523,"_490":545,"_492":493,"_494":546,"_496":534},["D",1774656000000],[538],{"_458":459,"_454":539,"_452":540,"_456":541,"_460":542},"Seattle","Seattle, WA, United States, 98127","WA","98127",["B","2906613597"],"/jobs/2906613597-sr-applied-scientist-amazon-advertising","Seattle, WA, United States","/jobs?location=Seattle%2C+WA%2C+United+States",{"_435":434,"_440":548,"_470":471,"_462":463,"_248":444,"_447":444,"_433":434,"_113":549,"_437":438,"_439":199,"_472":471,"_448":199,"_449":550,"_431":552,"_473":474,"_436":120,"_487":488,"_478":553,"_489":549,"_490":545,"_492":493,"_494":546,"_496":554},["D",1774656000000],"Applied Scientist - Advertising Solutions",[551],{"_458":459,"_454":539,"_452":540,"_456":541,"_460":542},["B","3039942691"],"/jobs/3039942691-applied-scientist-advertising-solutions","/jobs?keyword=Applied+Scientist+-+Advertising+Solutions",{"_435":434,"_440":556,"_470":471,"_462":463,"_248":444,"_447":444,"_433":434,"_113":557,"_437":438,"_439":199,"_472":471,"_448":199,"_449":558,"_431":560,"_473":474,"_436":120,"_487":561,"_478":562,"_489":557,"_490":545,"_492":493,"_494":546,"_496":563},["D",1774569600000],"Applied Scientist II, Prime and Marketing Technology",[559],{"_458":459,"_454":539,"_452":540,"_456":541,"_460":542},["B","3030538663"],"3 days ago","/jobs/3030538663-applied-scientist-ii-prime-and-marketing-technology","/jobs?keyword=Applied+Scientist+II%2C+Prime+and+Marketing+Technology",{"_435":434,"_440":565,"_470":471,"_462":463,"_248":566,"_447":567,"_433":434,"_113":568,"_437":199,"_439":199,"_472":471,"_448":199,"_449":569,"_431":573,"_473":474,"_436":120,"_487":574,"_478":575,"_489":576,"_490":577,"_492":493,"_494":578,"_496":579},["D",1774483200000],"Applied Scientist, Device Ad Products & Personalization\nJob ID: 3173331 | Amazon.com Services LLC\n\nOverview\nWe are seeking an Applied Scientist for our Device Ad Products science team. This team addresses challenging optimization problems related to how advertisements are priced, selected, allocated and shown to customers on Amazon devices including Fire TV, Alexa and Fire Tablet. As Applied Scientist, you will be responsible for improving advertising performance and delivering innovative advertising experiences for display and video ads on Amazon Devices. This team leads initiatives to improve advertising fundamentals such as relevance, coverage, CTR, and CPSU (cost per sign up for streaming services) which in turn increase advertising revenue across Amazon's devices worldwide. You will own the scoping, implementation, and launch of science based ad solutions and experiences specifically for these entertainment focused environments.\n\nKey Responsibilities\n\nGain a comprehensive understanding of the customer lifecycle journey with Amazon Ads, and develop sophisticated models to optimize various conversion KPIs for enhanced marketing effectiveness.\n\nDevelop scalable data processing pipelines and architectures to ingest, transform, and enrich Customer data from various sources (Retail, Prime Video, FireTV and AppStore).\n\nBuild machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with product managers and engineers to launch your models to customers.\n\nDrive innovation within your team and partner closely with other scientists, engineers and Product Managers to build science roadmaps.\n\nEstablish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.\n\nStay up-to-date with the latest advancements in machine learning, natural language processing, knowledge representation, multi-modal learning and related fields, and identify opportunities to apply them to Advertising Use Cases.\n\nWe are looking for world class researchers with experience in one or more of the following areas of Agentic AI for ads targeting - autonomous agents, multi agent orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.\n\nEffectively communicate complex science problems and solutions to both technical and non-technical audiences.\n\nA Day in the Life\nIn this role, you will regularly work with scientists and technical leaders across the advertising organization, including other science teams, product management, and senior leadership. You will also collaborate with science leaders across Amazon Devices and Prime Video organizations to build company-wide alignment. You will manage and work closely alongside your team of applied and data scientists to guide them through high-ambiguity problems and deliver robust, scalable solutions.\n\nAbout the Team\nThis role is on Device Ads and Personalization (DAPP) team, which is under Amazon Publisher Monetization (APM). This team has a vision to create innovative Ad experiences on Amazon Devices, providing customers better convenience and more selection.\n\nBasic Qualifications\n\n3+ years of building models for business application experience\n\nPhD, or Master's degree and 4+ years of CS, CE, ML or related field experience\n\nExperience programming in Java, C++, Python or related language\n\nExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing\n\nPreferred Qualifications\n\nExperience using Unix/Linux\n\nExperience in professional software development\n\nPhD\n\n3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience\n\nExperience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)\n\nEqual Opportunity Employer\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nBenefits\nOur 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.\n\nSalary\nUSA, NY, New York - $172,400.00 - $223,400.00 USD annually\n\nPosted\nOctober 30, 2025 (Updated about 17 hours ago)\n\n#J-18808-Ljbffr","Applied Scientist, Device Ad Products & Personalization\nJob ID: 3173331 | Amazon.com Services LLC\n\nOverview\nWe are seeking an Applied Scientist for...","Applied Scientist, Device Ad Products & Personalization (Advertising)",[570],{"_458":459,"_454":571,"_452":572,"_456":457,"_460":461},"New York","New York, NY, United States, 10261",["B","3062592021"],"4 days ago","/jobs/3062592021-applied-scientist-device-ad-products-personalization-advertising","Applied Scientist, Device Ad Products & Personalization (Advertis...","New York, NY, United States","/jobs?location=New+York%2C+NY%2C+United+States","/jobs?keyword=Applied+Scientist%2C+Device+Ad+Products+%26+Personalization+%28Advertis...","actionData","errors"]