Applied Science Manager, Sponsored Products and Brands

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel 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 ecosystem. If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.

Key job responsibilities
* Hire and develop a team of high performing applied scientists that is responsible for developing AI solutions for Sponsored Brands advertiser and shopper experiences.
* You should be technically solid able to roll up your sleeves easily and have strong curiosity and appetite to invent Gen AI solutions that solve customer problems.
* Build recommendation systems that leverage generative models to develop and improve campaigns.
* Technically lead and mentor the scientists on the team.
* Research and apply the latest Gen AI and ML techniques and best practices.
* Use analytical techniques to create scalable solutions for business problems.
* Establish structures that enable your team to solve complex problems and deliver results.

About the team
We are on a mission to make Amazon the best in class destination for shoppers to discover engage and purchase relevant products from brands that are relevant to this role you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations while improving the overall experience at Amazons global scale.

Our team invents defines and delivers advertising products that drive brand discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon Store businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create world-class products. We are a highly motivated fast-paced and collaborative team with an entrepreneurial spirit.

- 4 years of applied research experience
- 3 years of scientists or machine learning engineers management experience
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Knowledge of ML NLP Information Retrieval and Analytics
- Experience programming in Java C Python or related language
- Deep curiosity and basic knowledge on Gen AI

- Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
- Previous work on agents or LLMs

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165500/year in our lowest geographic market up to $286000/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.