Job Description
We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers.
• Design agentic architectures, develop tools and datasets, and contribute to building systems that can reason, plan, and act autonomously across complex advertiser workflows.
Key Responsibilities:
• Lead business, science and engineering strategy and roadmap for Sponsored Products Agentic Advertiser Guidance.
• Design and build agents to guide advertisers in conversational and non-conversational experience.
• Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO).
• Curate datasets and tools for MCP.
• Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails.
• Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning.
• Prototype and iterate on multi-agent orchestration frameworks and workflows.
• 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, and translate findings into practical applications.
