Drimva

Amazon

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

$199K–$309K

New York, NY +2 · Principal · Full-time · Posted Oct 28, 2026

Location
New York, NY
SEATTLE, WA
Palo Alto, CA
Experience
5+ years of hands-on predictive modeling and analysis; preferred: 10+ years of relevant work in industry or academia.
Education
PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field.

About the job

Leads scientific development of agent evaluations and machine-learning optimization systems for advertising, from research through production.

What you'll do

  • Set the scientific vision and roadmap for Ads Agent evaluations and establish data-driven launch decisions.
  • Develop and productionize models for joint advertising budget allocation, incrementality measurement, and long-term-sales modeling.
  • Lead experiments, collaborate with engineering and product, and mentor scientists.

What they ask for

  • PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field.
  • 5+ years of hands-on predictive modeling and analysis experience.
  • Experience translating informal customer requirements into problem definitions amid ambiguity and competing objectives.
  • Programming experience in Java, C++, Python or a related language; experience leading experienced scientists and developing junior members.

Nice to have

  • 10+ years of relevant industry or academic experience.
  • Experience creating novel algorithms and advancing the state of the art; peer-reviewed contributions in premier journals and conferences.

Pay

USD 228,700.00 - 309,400.00 annually (base salary); USD 218,800.00 - 295,900.00 annually (base salary); USD 198,900.00 - 269,000.00 annually (base salary)

Tools

Java, C++, Python

AI focus

Develops agentic AI systems, multimodal foundation models, and LLM-driven agents for advertising; this role focuses on agent evaluation and optimization models for advertiser outcomes.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)