Amazon
Applied Scientist III, Sponsored Products and Brands - Advertiser Growth and Strategies
$167K–$260K
Seattle, WA +3 · Full-time · Posted Aug 18, 2026
- Location
- Seattle, WA
New York, NY
SEATTLE, WA
Palo Alto, CA - Experience
- 5+ years building machine learning models for business application; PhD, or Master's degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree.
About the job
Sets scientific direction and builds agentic AI systems that guide advertisers and autonomously manage and optimize advertising campaigns.
What you'll do
- Define the science vision and delivery roadmaps for agentic campaign management.
- Build and launch agent systems, including their architecture, data, evaluation, and safety methods.
- Lead scientific work, mentor colleagues, and collaborate with product and engineering leaders.
What they ask for
- 5+ years of building machine learning models for business application experience.
- PhD, or Master's degree and 6+ years of applied research experience.
- Experience programming in Java, C++, Python or related language.
- Experience with neural deep learning methods and machine learning.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.; building high-velocity ad products; or developing, deploying and managing AI products at scale.
Pay
192,200.00 - 260,000.00 USD annually (base salary); 183,800.00 - 248,700.00 USD annually (base salary); 167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, MCP, ReAct, CoT/ToT, Tensorflow, Spark
AI focus
Develop agentic AI for advertiser guidance and autonomous campaign management, including planning, tool integration, long-horizon reasoning, multi-agent orchestration, evaluation, and safety.
Model-written summary · the original posting is authoritative