Drimva

Amazon

Principal Applied Scientist, Sponsored Products and Brands

$199K–$309K

New York, NY +2 · Principal · Full-time · Posted May 7, 2026

Location
New York, NY
SEATTLE, WA
Palo Alto, CA
Experience
7+ years working with Data & AI related technologies; 7+ years working directly with engineering teams; 7+ years of technical product or program management. Preferred: 8+ years hands-on managing complex technology projects.
Education
PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field.

About the job

Leads applied science strategy and execution for generative-AI-powered Sponsored Brands advertising products, bringing advanced models into production and improving advertiser and shopper experiences.

What you'll do

  • Set the long-term science vision and lead development and deployment of GenAI advertising products.
  • Manage projects from inception through improvement, coordinating product, science, engineering, and other stakeholders.
  • Own project planning, prioritization, partner management, external commitments, and technical recommendations.

What they ask for

  • PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field.
  • Experience designing or architecting new and existing systems, including design patterns, reliability, and scaling.
  • Experience owning or driving roadmap strategy and definition.

Nice to have

  • Experience managing complex technology projects hands-on.
  • Experience managing cross-functional projects, building sustainable processes, and coordinating release schedules.

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

AI/ML, GenAI, Analytics, Database, Storage, LLM

AI focus

Lead and deliver generative-AI solutions and models for advertising, including intelligent campaign recommendations and new advertiser and shopper experiences; bring state-of-the-art GenAI models into production and use GenAI to improve team efficiency.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)