[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · New York, NY # Senior Applied Scientist, Entertainment Devices & Grocery Experiences (EDGE) Ads US, NY, New York Senior individual contributor Research & Science Listed on Amazon’s official careers site. Posted April 17, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10394748/senior-applied-scientist-entertainment-devices-grocery-experiences-edge-ads) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Senior Applied Scientist, Entertainment Devices & Grocery Experiences (EDGE) Ads ## Job description We are seeking an Senior Applied Scientist for our Entertainment Devices & Grocery Experiences (EDGE) Ads team. This team addresses challenging content and ads optimization problem related to how advertisements are priced, selected, allocated and shown to customers on Amazon devices including Prime Video, Fire TV, Alexa, Fire Tablet and Amazon Stores. As Senior Applied Scientist, you will be responsible for improving advertising performance and delivering innovative advertising experiences for display and video ads on Amazon Devices. We are innovating for the next generation of conversational ads and agentic ai driven ads experience. 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. ### Key job responsibilities - Gain a comprehensive understanding of the customer lifecycle journey with Amazon Ads, and develop sophisticated models to optimize various conversion KPIs for enhanced marketing effectiveness. - Develop scalable data processing pipelines and architectures to ingest, transform, and enrich Customer data from various sources (Retail, Prime Video, FireTV, Alexa+ and AppStore). - Build 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. - Drive innovation within your team and partner closely with other scientists, engineers and Product Managers to build science roadmaps - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Stay 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. - We 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. - Effectively communicate complex science problems and solutions to both technical and non-technical audiences. ### A day in the life In 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. ### About the team This 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. ## At a glance - Posted by the employer: Apr 17, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 11, 2026 - Listed for: 177 days - Location: US, NY, New York[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10394748/senior-applied-scientist-entertainment-devices-grocery-experiences-edge-ads) ## More jobs at Amazon ### [Applied Scientist, Sponsored Products](https://jobs.opennash.com/companies/amazon/jobs/da0e61acafa3fce874f9/) US, NY, New York ### [Applied Scientist - Fault-Tolerant Quantum Computing, Amazon Braket](https://jobs.opennash.com/companies/amazon/jobs/7ab4650e20a711f335c4/) US, NY, New York ### [Applied Scientist II, Advertising Incrementality Measurement](https://jobs.opennash.com/companies/amazon/jobs/3c55fba0b172480a33da/) US, NY, New York ### [Applied Scientist III, AI & AGI Security](https://jobs.opennash.com/companies/amazon/jobs/189d77980181b3220cee/) US, NY, New York ### [Applied Scientist III, Demand Technology, Amazon Demand Side Platform, Bravo Non-endemic](https://jobs.opennash.com/companies/amazon/jobs/d976c9d622eab4f5a715/) US, NY, New York ## Similar jobs at other companies ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States ### [Applied Scientist II](https://jobs.opennash.com/companies/microsoft/jobs/1932503c468419f688ab/) Microsoft · United States, Washington, Redmond ### [Principal Applied Scientist](https://jobs.opennash.com/companies/microsoft/jobs/6887d8f40d7a9e34526e/) Microsoft · United States, Washington, Redmond ### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/) Walmart · United States ### [Senior AI/ML Applied Scientist](https://jobs.opennash.com/companies/unitedhealth-group/jobs/78af7d0e20840c30720f/) UnitedHealth Group · Eden Prairie, Minnesota OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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