[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Amazon · New York, NY # Principal Applied Scientist, FAIM (Full Funnel Agentic Intelligence and Models) US, NY, New York Senior individual contributor Research & Science Listed on Amazon’s official careers site. Posted October 28, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10591721/principal-applied-scientist-faim-full-funnel-agentic-intelligence-and-models) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Principal Applied Scientist, FAIM (Full Funnel Agentic Intelligence and Models) ## Job description The FAIM (Full Funnel Agentic Intelligence and Models) builds the agentic AI systems behind next-generation advertising. The team develops multimodal foundation models and LLM-driven agents that power shopper understanding, audience-aware creative generation, and agentic advertising workflows. As a Principal Applied Scientist for the FAIM team, you will invent the models that help advertisers achieve desired outcomes. Today's state of the art models can setup ad campaigns to a specification, but do not understand advertising strategy well enough to help with abstract goals that real advertisers ask about like "how can I make more money." This is a rare charter to build foundational optimization science where little exists today, spanning campaign recommendation, cross-product budget allocation, incrementality measurement, and long-term-sales modeling. You will set technical direction for a growing team, partner with engineering and product to take models from research to production at Amazon scale, and directly move advertiser ROAS and new-to-brand growth. In this role you will - Own the science vision for developing evaluations of the Ads Agent - Partner with scientists from across Ads to develop best practices for evaluating agent performance both online and offline - Raise the science bar for all agent evaluations developed in Ads. - Own establishing a data driven foundation for making decisions about when new features are ready to launch in Ads Agent. ### Key job responsibilities - Define the long-term scientific vision for agent evaluations in Ads - Translate ambiguous advertiser needs and competing objectives into a concrete science roadmap. - Invent, prototype, and productionize machine learning and optimization solutions for joint budget allocation across sponsored ad products, spanning the shopper journey from awareness to purchase. - Develop rigorous approaches to incrementality measurement and long-term-sales modeling that ground optimization in true advertiser value. - Design and lead large-scale experiments and analyses to validate hypotheses and guide product direction. - Partner closely with engineering and product to define technical contracts, data schemas, and serving systems that carry models into production. - Raise the technical bar across science and engineering through mentorship, design reviews, and hands-on collaboration. - Grow scientific talent and publish impactful research internally and at top-tier venues. ## At a glance - Posted by the employer: Oct 28, 2026 - First seen by OpenNash: Nov 1, 2026 - Last checked: Nov 8, 2026 - Listed for: 11 days - Location: US, NY, New York[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10591721/principal-applied-scientist-faim-full-funnel-agentic-intelligence-and-models) ## Hiring at Amazon - Open jobs: 21,930 - New in the last 7 days: After two weekly collections - Tracked since: Jul 10, 2026 [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Amazon ### [Principal Audio Scientist, Fauna](https://jobs.opennash.com/companies/amazon/jobs/7f5be5cb61820c5e29d6/) US, NY, New York ### [Principal Business Development Demand, Amazon Publisher Services Deals & Curation](https://jobs.opennash.com/companies/amazon/jobs/06fd0e606ba59f2d47af/) US, NY, New York ### [Principal Business Development Lead, Amazon Shipping](https://jobs.opennash.com/companies/amazon/jobs/964abddcbb043b8ed1f4/) US, NY, New York ### [Principal Business Development Manager - Tech Omnichannel Grocery Ads, Grocery Ads](https://jobs.opennash.com/companies/amazon/jobs/77b0bbd290b6f39e53eb/) US, NY, New York ## Similar jobs at other companies ### [Sr Applied Data Scientist - Search and Browse (applied ML, LLMs, ML Ops)](https://jobs.opennash.com/companies/target/jobs/0923ac6213001fd36d99/) Target · Canada ### [Sr Applied Data Scientist - 1:1 Personalization, Audience and Experimentation (applied ML, PyToch, A/B testing)](https://jobs.opennash.com/companies/target/jobs/edc06d0a1943ad5a5ba0/) Target · Mongolia ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States ### [Applied Researcher 1](https://jobs.opennash.com/companies/ebay/jobs/446f6c4cf76f183fbba3/) eBay · San Jose, California ### [Applied Scientist II](https://jobs.opennash.com/companies/microsoft/jobs/1932503c468419f688ab/) Microsoft · United States, Washington, Redmond [Jobs in New York, NY](/locations/us/ny/new-york/)[Jobs in New York](/locations/us-ny/)[Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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