Applied Scientist III, Sponsored Products and Brands - Advertiser Growth and Strategies
Core
Define scientific direction and build agentic AI systems that autonomously manage and optimize ad campaigns for millions of advertisers on Amazon.
Role type
Senior Applied Scientist (Agentic AI & Campaign Optimization)
Builds
Autonomous agentic systems for ad campaign management, optimization, and guidance.
Domain
Advertising, Generative AI, Agentic Systems, Marketplace Dynamics
Deliverable
production ML models | product features
Required skills
Machine learning model building, neural deep learning, Java/C++/Python programming, agentic system architecture, long-horizon reasoning, multi-agent orchestration, tool use integration, dataset curation, evaluation methodology design, hands-on production coding
Preferred skills
Large scale distributed systems, high-velocity ad product development, AI product deployment at scale
Technologies
Java, C++, Python, TensorFlow, PyTorch, Spark, Hadoop, MCP, ReAct, CoT/ToT
Responsibilities
Define science vision and delivery roadmaps for agentic campaign management; build systems that encode auction dynamics and optimize advertiser ROI; curate datasets and signals for agent training and evaluation; write production-quality code for core components; own agentic architecture including planning and multi-agent orchestration; define evaluation and safety methodologies; mentor scientists and engineers.
Seniority
Senior, hands-on IC with scientific leadership