Sr. Applied Scientist, SPB Advertiser Guidance

We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon 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. You will work backwards from the needs of advertisersdelivering 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
- 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.

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.

- PhD or Masters degree and 6 years of applied research experience
- 3 years of building machine learning models for business application experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.