Sr. Applied Scientist , Amazon Ads

About the role

Amazon Ads is one of the fastest‑growing businesses at Amazon, helping millions of advertisers — from first‑time sellers to global agencies — reach customers at every stage of the shopping journey. Advertising Services envisions Amazon Ads as the ultimate partner for advertising customers, delivering this vision by building the internal tooling, automations, and platforms that enable efficient service delivery at scale so every advertiser, regardless of size or sophistication, receives world‑class support. The Ad Services Engineering team builds and operates the systems that underpin the full spectrum of advertiser services — from self‑service support experiences (Help content, Contact Us traffic patterns, knowledge bases) to managed campaign operations. The team is investing in applied science to fundamentally change how advertisers get help, how campaigns are launched, how service teams find answers, and how operational issues are detected and resolved at scale. On the self‑service side, this includes studying Contact Us traffic patterns, experimenting with Help content effectiveness, and optimizing the knowledge systems that power advertiser self‑resolution. On the managed services side, it involves building autonomous agents that handle low‑ and medium‑judgment tasks currently performed by humans, freeing Amazonians to focus on higher‑value, strategic work. Across both areas, the team develops intelligent assistants and pioneers automated identification of product gaps from unstructured operational data, turning thousands of data points into actionable insights that drive product improvements. As a Sr. Applied Scientist, you will be the science leader for AI‑powered automation and intelligence within Advertising Services. You will own the research and development of the machine learning systems that improve self‑service advertiser experiences, power autonomous workflow agents, and drive operational intelligence — directly translating into higher self‑service resolution rates, productivity gains measured in tens of thousands of hours annually, and measurable improvements in advertiser experience.

Responsibilities

• Build internal tooling, automations, and platforms that enable efficient service delivery at scale for advertiser support.
• Study patterns in Contact Us traffic and experiment with improving Help content effectiveness.
• Optimize knowledge systems that power advertiser self‑resolution.
• Build autonomous agents that handle low‑ and medium‑judgment tasks currently performed by humans.
• Develop intelligent assistants and pioneer automated identification of product gaps from unstructured operational data.