Senior Applied Scientist, Funnel Agentic Intel

Amazon Ads is building Ads Agent an AI-powered agent that understands advertiser intent reasons over campaign strategy and executes across the full Amazon Ads portfolio. If you want to work at the frontier of agentic AI and large language models while directly impacting a multi-billion dollar business this is your team.

We are seeking an experienced Applied Scientist passionate about building intelligent agents that reason plan and act across complex advertising workflows.

Ads Agent is an AI agent that simplifies how advertisers plan launch and optimize campaigns. Powered by AI Ads Agent works alongside advertisers to automate time-consuming tasks like identifying targeting segments adjusting pacing across hundreds of campaigns and generating SQL queries for advanced analytics. It also provides data-driven recommendations and simplifies analysisall while providing transparency and control. With a broad mandate to experiment and innovate we need applied scientists to define and build the future of advertising.

Key job responsibilities
- Design build and evaluate agentic systems that plan multi-step workflows invoke tools and take autonomous actions across Amazon Ads products on behalf of advertisers.

- Define evaluation frameworks and benchmarks for agent reliability correctness safety and advertiser satisfaction.

- Analyze agent behavior through deep data analysis and rigorous A/B experimentation to identify failure modes measure effectiveness and derive business insights.

- Partner with engineers product managers and UX designers to ship end-to-end agent experiences that are scalable efficient and reliable at Amazon scale.

About the team
We are a small fast-moving team building a unified AI-native interface to all of Amazon Advertising. We sit at the intersection of large language models agentic AI and one of the worlds most complex advertising ecosystems. If you want to shape how millions of advertisers interact with Amazon Ads come build with us.

- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research 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.

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 - 167100.00 - 226100.00 USD annually