Applied Scientist II: AI-Driven Ad Campaign Optimizer

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking an Applied Scientist II to build AI behind Auto Optimization for Sponsored Products and Brands. You will design agentic systems that operate across targeting, bids, budgets, and placements to automatically optimize advertiser campaigns, learning and adapting as marketplace conditions change.

You will work hands-on with challenging AI problems, collaborate with product and engineering partners, and help raise the technical bar for the team’s advertising science in a production

Qualifications

• 3+ years of building models for business applications.
• PhD or Master’s with CS/CE/ML or related field experience.
• Experience programming in Java, C++, Python.
• Experience in algorithms, data structures, parsing, numeric optimization, data mining, parallel/distributed computing.

Responsibilities

• Build agentic systems that automatically optimize campaigns across targeting, bids, budgets and placements.
• Encode auction dynamics and marketplace signals to guide agent reasoning.
• Define datasets to train and evaluate campaign/marketplace agents.
• Develop production-quality, scalable code and safety/evaluation methods for live campaigns.
• Collaborate with product and engineering partners to advance the AI framework.
• Contribute to scientific agenda and share work with the team.

Skills

Model development

Programming (Java/C++/Python)

Algorithms & data structures

Distributed computing

Education

PhD or Master’s in CS/CE/ML

Job description

Amazon is seeking an Applied Scientist II to build AI behind Auto Optimization for Sponsored Products and Brands. You will design agentic systems that operate across targeting, bids, budgets, and placements to automatically optimize advertiser campaigns, learning and adapting as marketplace conditions change.

You will work hands-on with challenging AI problems, collaborate with product and engineering partners, and help raise the technical bar for the team’s advertising science in a production