[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 # Applied Scientist, Advertiser Growth Engine US, NY, New York Research & Science Listed on Amazon’s official careers site. Posted October 5, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10569394/applied-scientist-advertiser-growth-engine) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Applied Scientist, Advertiser Growth Engine ## Job description Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! Advertiser Growth Engine (AGE) team owns and builds services and applications across Amazon World-Wide Advertising that make advertising across multi-marketplaces as easy as flipping on a switch. We are focused on: (1) expanding Amazon Ads advertiser base, and (2) eliminating localization, operational, and marketplace knowledge gap barrier for Advertisers who advertise across multiple marketplaces. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth globally. We're looking for an experienced Applied Scientist with exceptional technical, analytical, and innovative capabilities to research, design, and create elegant machine learning solutions. The solutions will help our advertisers with multi-media and multi-lingual advertising offerings. You will use ideas from various domains of machine learning, including supervised and unsupervised methods, Deep Neural Networks, Natural Language Processing (NLP), and Computer Vision (CV) to build ML models that localizes multi-media advertising contents, including text, images and videos. You will also identify opportunities to leverage ML beyond localization, including, international expansion and global campaigns. Your work will directly impact our customers in the form of products and services used directly by our advertisers as well as our third-party integrators. As an Applied Scientist on this team, you will: - Build and deliver end-to-end machine learning solutions; build ML models and perform data analysis to deliver scalable solutions to business problems. - Perform hands-on analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience. - Work closely with software engineers on detailed requirements to productionize the ML models you build. - Run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new innovate machine learning approaches. ### Why you will love this opportunity Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. ### Impact and Career Growth You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Team video [https://youtu.be/zD_6Lzw8raE](https://youtu.be/zD_6Lzw8raE) ## At a glance - Posted by the employer: Oct 5, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 13 days - Location: US, NY, New York[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10569394/applied-scientist-advertiser-growth-engine) ## 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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