Applied Scientist, Products

About Sponsored Products and Brands

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across  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 Targeting and Recommendations team within Sponsored Products and Brands empowers advertisers with intelligent targeting controls and one‑click campaign recommendations that automatically populate optimal settings based on ASIN data. This comprehensive suite provides advanced targeting capabilities through AI‑generated keyword and ASIN suggestions, sophisticated targeting controls including Negative Targeting, Manual Targeting with Product Attribute Targeting (PAT) and Keyword Targeting (KWT), and Automated Targeting (ATv2).

Our vision is to build a revolutionary, highly personalized and context‑aware agentic advertiser guidance system that seamlessly integrates Large Language Models (LLMs) with sophisticated tooling, operating across both conversational and traditional ad console experiences while scaling from natural language queries to proactive, intelligent guidance delivery based on deep advertiser understanding, ultimately enhancing both targeting precision and one‑click campaign optimization. Through strategic partnerships across Ad Console, Sales, and Marketing teams, we identify high‑impact opportunities spanning from strategic product guidance to granular keyword optimization and deliver them through personalized, scalable experiences grounded in state‑of‑the‑art agent architectures, reasoning frameworks, sophisticated tool integration, and model customization approaches including tuning, MCP, and preference optimization.

This presents an exceptional opportunity to shape the future of e-commerce advertising through advanced AI technology at unprecedented scale, creating solutions that directly impact millions of advertisers.

• Design and build targeting and 1 click recommendation 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).
• 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.
• Develop agentic architectures that integrate planning, tool use, and long‑horizon reasoning.

As an Applied Scientist on our team, your days will be immersed in collaborative problem‑solving and strategic innovation. You'll partner closely with expert applied scientists, software engineers, and product managers to tackle complex advertising challenges through creative, data‑driven solutions. Your work will center on developing sophisticated machine learning and AI models, leveraging state‑of‑the‑art techniques in natural language processing, recommendation systems, and agentic AI frameworks.

From designing novel targeting algorithms to building personalized guidance systems, you'll contribute to breakthrough innovations.

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

• 3+ years of building models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing,…