Senior Applied Scientist, Full-funnel Agentic Intelligence and Models

Amazon Advertising is one of Amazons fastest growing and most profitable businesses. Amazons advertising portfolio helps merchants retail vendors and brand owners succeed via native advertising which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love be the most efficient way for advertisers to meet their business objectives and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

Amazon continues to develop its advertising program. Ads run in our Stores (including Consumer Stores Books Amazon Business Whole Foods Market and Fresh) and Media and Entertainment publishers (including Fire TV Fire Tablets Kindle Alexa Twitch Prime Video Freevee Amazon Music MiniTV Audible IMDb and others). In addition to these first-party (1P) publishers we also deliver ads on third-party (3P) publishers.

We have a number of ad products including Sponsored Products and Sponsored Brands display and video products for smaller brands including Sponsored Display and Sponsored TV. We also operate ad tech products including Amazon Marketing Cloud (a clean-room for advertisers) Amazon Publisher Cloud (a clean-room for publishers) and Amazon DSP (an enterprise-level buying tool that brings together our ad tech for buying video audio and display ads).

We are seeking an experienced Applied Scientist passionate about understanding shopping journeys spanning across ad products and publishers.

Key job responsibilities
This role is focused on developing core models that will be the foundational to Full Funnel Campaigns. You will regularly engage with product managers and technical program managers who will partner with you to productize your work.

- 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.

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.

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 CA Palo Alto - 192200.00 - 260000.00 USD annually
USA NY New York - 183800.00 - 248700.00 USD annually
USA WA SEATTLE - 167100.00 - 226100.00 USD annually