Senior Applied Scientist, Creative X RAPID

About Amazon Advertising:
Amazon Advertising operates at the intersection of eCommerce and advertising offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types to reach Amazon customers on across our other owned and operated sites on other high quality sites across the web and on millions of mobile devices. We start with the customer and work backwards in everything we do including advertising. If youre interested in joining a rapidly growing team working to build a unique world-class advertising group with a relentless focus on the customer youve come to the right place.

About our team:
Our team CreativeX optimizations is responsible for tailoring the visual experience of ads to each context in real time. To accomplish this we are investing in latent-diffusion models large language models (LLM) reinforced learning (RL) Computer Vision and related methods.

Key job responsibilities
We are looking for talented Applied Scientists who are adept at a variety of skills especially with reinforcement learning and recommendations and familiarity with LLMs latent diffusion or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. The role will focus on developing predictive creative recommendations along with insights to improve campaign performance and creative generation process. Every member of the team is expected to build customer (advertiser) facing features contribute to the collaborative spirit within the team publish patent and bring state-of-the-art research to raise the bar within the team.

- 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/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.

Required Experience:

Senior IC