Applied Scientist II, Sponsored Products Global Optimization
Core
Design agentic architectures and optimization models to improve advertiser experiences at global scale for Amazon Ads.
Role type
Applied Scientist II (Agentic AI & Optimization)
Builds
Autonomous agent systems, optimization models, and evaluation pipelines for advertising workflows.
Domain
E-commerce advertising, Generative AI, Large Language Models (LLMs)
Deliverable
production ML models
Required skills
PhD or Master's + 4+ years in CS/ML, 3+ years building models for business, Java/C++/Python programming, experimental design, statistical analysis
Preferred skills
Deep learning architecture design, LLMs, AI Agents, Chain of Thought reasoning, Model pruning
Technologies
DPO, IPO, CoT, ToT, ReAct, MCP
Responsibilities
Design and build agents that improve advertisers experiences globally; Design and implement advanced model and agent optimization techniques; Design and implement optimization models that work at global scale; Innovate new science models to help advertisers scale their campaigns globally; Curate datasets and tools for MCP; Build evaluation pipelines for agent workflows; Develop agentic architectures that integrate planning, tool use, and long-horizon reasoning; Prototype and iterate on multi-agent orchestration frameworks; Collaborate with peers across engineering and product to bring scientific innovations into production; Stay current with the latest research in LLMs, RL, and agent-based AI.
Seniority
Mid-Senior, hands-on IC
