Gen AI Applied Scientist—Sponsored Ads Leader

Amazon Inc.

New York (NY)

On-site

USD 219,000 - 296,000

Full time

32 hours ago
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Benefits offered by this job

Health insurance
RSUs
401(k) matching
Paid time off
Parental leave

Job summary

Amazon is seeking a Principal Applied Scientist for Sponsored Products and Brands to lead Gen AI initiatives, shaping product experiences and overseeing production of state-of-the-art AI models. You will coordinate with product, science, engineering, and UX teams across ads and retail to deliver high-impact solutions.

The role requires deep subject matter expertise in ML, GenAI, and product-focused execution, translating customer needs into a long-term science vision and actionable roadmaps for

Qualifications

  • PhD in a relevant technical field.
  • 7+ years working with Data & AI technologies (AI/ML, GenAI, Analytics, Database, Storage).
  • Experience designing or architecting scalable systems.
  • 7+ years collaborating with engineering teams.
  • 7+ years of product or program management experience.
  • Experience owning/driving roadmap strategy.

Responsibilities

  • Manage projects across inception to deployment and improvements.
  • Interface across product, science, and engineering teams within Ads and Retail.
  • Drive fast delivery with autonomy and efficiency; manage partners and timelines.
  • Recommend alternative technical approaches and translate vision into actionable plans.

Skills

PhD in technical field
AI/ML
GenAI
Data & AI technologies

Education

PhD in Electrical Engineering, Computer Science, Mathematics

Tools

Analytics
Database
Storage

Job description

Amazon is seeking a Principal Applied Scientist for Sponsored Products and Brands to lead Gen AI initiatives, shaping product experiences and overseeing production of state-of-the-art AI models. You will coordinate with product, science, engineering, and UX teams across ads and retail to deliver high-impact solutions.

The role requires deep subject matter expertise in ML, GenAI, and product-focused execution, translating customer needs into a long-term science vision and actionable roadmaps for

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