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# Principal Applied Scientist, FAIM (Full Funnel Agentic Intelligence and Models)

- **Company:** Amazon.com, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $228,700 - $309,400
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Algorithm Design, C++ (Programming Language), Python (Programming Language), Machine Learning, Big O, Large Language Models, Information Technology
- **Published:** October 19, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28122914/Principal-Applied-Scientist-Faim-Full-Funnel-Agentic-Intelligence-Models-New-York-New-York-7375

## About the Role

PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field

 - 5+ years of hands-on experience in predictive modeling and analysis
 - Experience distilling informal customer requirements into problem definitions while dealing with ambiguity and competing objectives
 - Experience programming in Java, C++, Python, or related language
 - Experience leading experienced scientists, as well as a record of developing junior members from academia or industry into a career track in a business environment, 10+ years of relevant experience in industry or academia
 - Knowledge of problem solving, algorithm design, and complexity analysis
 - Experience creating novel algorithms and advancing the state of the art
 - Peer-reviewed scientific contributions in premier journals and conferences

## 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 training models in our RL Gym from end-to-end
 - Invent models for joint budget allocation, incrementality, and long-term value
 - Take innovations from prototype to production serving live advertiser campaigns
 - Raise the technical bar across scientists and engineers, Define the long-term scientific vision for our RL Gym based training process focusing on campaign optimization and other advertising workflows
 - Translating 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.