Applied Scientist I, SPB Advertiser Guidance

We are looking for a passionate Applied Scientist to contribute to the next generation of agentic AI applications for Amazon this role you will support the development of agentic architectures help build tools and datasets and contribute to systems that can reason plan and act autonomously across complex advertiser workflows. You will work alongside senior scientists at the forefront of applied AI gaining hands-on experience with methods for fine-tuning reinforcement learning and preference optimization while contributing to evaluation frameworks that ensure safety reliability and trust at scale.

You will work backwards from the needs of advertiserscontributing to customer-facing products that directly help them create optimize and grow their campaigns. Beyond building models you will support the agent ecosystem by experimenting with and applying core primitives such as tool orchestration multi-step reasoning and adaptive preference-driven behavior. This role involves tackling well-scoped technical problems while collaborating with engineers and product managers to bring solutions into production.

Key Job Responsibilities

- Contribute to building agents that guide advertisers in conversational and non-conversational experiences.
- Implement model and agent optimization techniques including supervised fine-tuning instruction tuning and preference optimization (e.g. DPO/IPO) under guidance from senior scientists.
- Support dataset curation and tool development for MCP.
- Contribute to evaluation pipelines for agent workflows including automated benchmarks multi-step reasoning tests and safety guardrails.
- Implement and iterate on agentic architectures (e.g. CoT ToT ReAct) that integrate planning tool use and long-horizon reasoning.
- Support prototyping of multi-agent orchestration frameworks and workflows.
- Collaborate with peers across engineering science and product to bring scientific innovations into production.
- Stay current with the latest research in LLMs RL and agent-based AI and apply findings to practical problems.

About the team
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 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 youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.

The Advertiser Guidance team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale the complexity of diverse advertiser goals campaign types and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazons retail ecosystem.

Our vision is to build a highly personalized context-aware agentic advertiser guidance system that leverages LLMs together with tools such as auction simulations ML models and optimization algorithms. This agentic framework will operate across both chat and non-chat experiences in the ad console scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision we collaborate closely with stakeholders across Ad Console Sales and Marketing to identify opportunitiesfrom high-level product guidance down to granular keyword recommendationsand deliver them through a tailored personalized experience. Our work is grounded in state-of-the-art agent architectures tool integration reasoning frameworks and model customization approaches (including tuning MCP and preference optimization) ensuring our systems are both scalable and adaptive.

- Masters degree in computer science mathematics statistics machine learning or equivalent quantitative field
- Experience programming in Java C Python or related language
- Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 136000.00 - 184000.00 USD annually