Drimva

Amazon

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

$199K–$309K

New York, NY +2 · Principal · Full-time · Posted Oct 20, 2026

Location
New York, NY
SEATTLE, WA
Palo Alto, CA
Experience
5+ years required; 10+ years preferred.
Education
PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field.

About the job

Leads scientific development of agentic AI and optimization models that help advertisers set strategy, allocate budgets, measure impact, and improve long-term sales outcomes.

What you'll do

  • Set the scientific vision and roadmap for RL Gym training and advertising campaign optimization.
  • Invent, validate, and productionize models for joint budget allocation, incrementality measurement, and long-term value.
  • Lead and mentor scientists, and partner with engineering and product to bring models into production.

What they ask for

  • PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field.
  • 5+ years of hands-on experience in predictive modeling and analysis.
  • 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 experience in industry or academia.
  • Experience creating novel algorithms or 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, RL Gym

AI focus

Develops multimodal foundation models and LLM-driven agents, including agentic advertising workflows and machine-learning models for campaign optimization.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 6, 2026 (UTC)