Senior Applied Scientist, Agentic Ad AI & Growth

Amazon; Seattle, Northern (WA, KY); Hybrid; USD 167,000 - 226,000; Full time

Job summary

Amazon Ads is seeking an Applied Scientist III to set the scientific direction for agentic AI applications that guide advertisers. In this role you will define, lead and build the science behind agentic systems that reason, plan, and act autonomously to manage and optimize ad campaigns based on a deep understanding of the advertiser and the marketplace.

You will own the agentic architecture end to end, partnering with product and engineering to translate a long-term science vision into concrete

Qualifications

• 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.

Responsibilities

• Define the science vision for the agentic campaign management system and, with product and engineering leaders, turn it into delivery roadmaps.
• Build agentic systems that autonomously manage and optimize ad campaigns — encoding auction and marketplace dynamics (bidding, budget pacing, keyword and targeting decisions) while balancing advertiser ROI, shopper experience, and marketplace health.
• Define and curate the datasets and signals needed to train and evaluate these agents — advertiser and campaign data, auction and bid/budget signals, impressions, clicks, conversions, and search-term/keyword performance.
• Stay deeply hands-on: write production-quality, critical-path code and build core components that take agentic systems from prototype to launch.
• Own the agentic architecture — planning, tool use and integration (e.g., MCP), long-horizon reasoning (e.g., ReAct, CoT/ToT), and multi-agent orchestration — and stay deeply hands-on, writing production-quality, critical-path code from prototype to launch.
• Define the evaluation and safety methodology for agent workflows and drive its adoption as the bar for reliability and trust.
• Drive the team's scientific agenda, mentor scientists and engineers, and represent the team in the internal and external scientific community.

Skills

ML for business applications

Deep learning experience

Agentic AI knowledge

Leadership/mentoring

Education

PhD or Masters + 6+ years applied research

Tools

Java

C++

Python

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

numpy

scipy

Job description

Amazon Ads is seeking an Applied Scientist III to set the scientific direction for agentic AI applications that guide advertisers. In this role you will define, lead and build the science behind agentic systems that reason, plan, and act autonomously to manage and optimize ad campaigns based on a deep understanding of the advertiser and the marketplace.

You will own the agentic architecture end to end, partnering with product and engineering to translate a long-term science vision into concrete