Amazon
Overview
Applied Scientist role at Amazon. 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 reason, plan, and act autonomously across complex advertiser workflows. You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale. Responsibilities
Design and build agents to guide advertisers in conversational and non-conversational experiences. 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. About the Team
The Sponsored Products and Brands team at Amazon Ads is focused on re-imagining the advertising landscape through generative AI technologies, revolutionizing how customers discover products and engage with brands across Amazon.com and beyond. Our work balances the needs of advertisers with responsible and intelligent AI technologies to strengthen the marketplace. Basic Qualifications
PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience 3+ years of building models for business applications Experience programming in Java, C++, Python or related language Experience in designing experiments and statistical analysis of results Preferred Qualifications
Experience in professional software development Experience in state-of-the-art deep learning model architectures, training and optimization, and model pruning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. For accommodations and accessibility support during application and hiring process, please visit the Amazon jobs accommodations page.
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Applied Scientist role at Amazon. 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 reason, plan, and act autonomously across complex advertiser workflows. You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale. Responsibilities
Design and build agents to guide advertisers in conversational and non-conversational experiences. 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. About the Team
The Sponsored Products and Brands team at Amazon Ads is focused on re-imagining the advertising landscape through generative AI technologies, revolutionizing how customers discover products and engage with brands across Amazon.com and beyond. Our work balances the needs of advertisers with responsible and intelligent AI technologies to strengthen the marketplace. Basic Qualifications
PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience 3+ years of building models for business applications Experience programming in Java, C++, Python or related language Experience in designing experiments and statistical analysis of results Preferred Qualifications
Experience in professional software development Experience in state-of-the-art deep learning model architectures, training and optimization, and model pruning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. For accommodations and accessibility support during application and hiring process, please visit the Amazon jobs accommodations page.
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