Applied Scientist , Sponsored Products

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge 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.

Key job responsibilities
- Define and lead science initiatives from problem framing through production deployment in a high-ambiguity environment
- Develop and deploy models spanning computer vision language and search and retrieval that operate on multimodal inputs at scale
- Design and analyze large-scale online experiments to measure impact on shopper and advertiser outcomes
- Collaborate with engineering product and design to ship science into production

A day in the life
As an Applied Scientist on the Sponsored Videos team you will tackle problems at the intersection of computer vision generative AI search and retrieval and personalization. Youll own the full science lifecycle from research and experimentation through online testing and production deployment working closely with engineering product and design partners to bring ideas to market. You should be comfortable working with multimodal signals building models that operate at scale and measuring impact through rigorous experimentation. Your work will directly influence the experience of hundreds of millions of shoppers and the outcomes of tens of thousands of advertisers.

About the team
The Sponsored Videos team within Sponsored Products and Brands develops the science and systems behind video advertising experiences that connect advertisers and shoppers across Amazon. We are on a mission to make Amazon the best-in-class destination for shoppers to discover engage with and build affinity with brands through videos.

- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience with vLLM SGLang TensorRT or similar platforms in production environments or experience in developing and deploying LLMs in production on GPUs Neuron TPU or other AI acceleration hardware

- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience contributing to the architecture and design (architecture design patterns reliability and scaling) of new and current systems
- Experience developing deploying and managing AI products at scale
- Experience with video compression
- Understanding of image processing fundamentals

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 CA Palo Alto - 171600.00 - 222200.00 USD annually
USA NY New York - 172400.00 - 223400.00 USD annually
USA WA SEATTLE - 142800.00 - 193200.00 USD annually