Applied Scientist II, Sponsored Products Deep Research Agent

We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, and contribute to building systems that can autonomously research advertiser portfolios, reason over campaign performance data, and produce actionable optimization strategies without human direction. You will work at the forefront of applied AI, developing methods for multi-step analytical reasoning, ML-backed bid simulation, and preference optimization, while helping create evaluation frameworks that ensure accuracy, reliability, and trust at scale. You will work backwards from the needs of advertisers—delivering customer-facing products that directly help them create, optimize, and grow their campaigns. Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production. Key job responsibilities - Design and build agents for the Sponsored Products campaign research. - Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO). - Curate datasets for model training and evaluation, and develop tools for agentic workflows (e.g., MCP tool definitions, data retrieval, simulation endpoints). - 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.

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. The Campaign Research Agent team within Sponsored Products and Brands is building an autonomous deep-research agent that investigates Sponsored Products advertisers end-to-end — synthesizing campaign performance, competitive intelligence, and market dynamics into actionable strategic briefs. At the scale of 1.6MM advertisers, the complexity of diverse business contexts, product portfolios, and competitive landscapes creates both a massive technical challenge and a transformative opportunity: a research agent that can reason deeply and produce grounded, evidence-backed analysis can have outsized impact on advertiser success and Amazon's retail ecosystem. Our vision is to build a highly personalized, context-aware research system that leverages LLMs together with tools such as bid simulation models, competitive intelligence pipelines, and multi-source data retrieval to