Outbound Communications organization is seeking a highly motivated applied scientist. In Outbound we are innovating and building scientific solutions to delight Amazon customers with timely highly personalized and relevant marketing messages across digital channels such as email mobile and SMS. As an applied scientist in Outbound you will be tasked with leading scientific innovations to use generative AI technology and create personalized messages using stateoftheart machine learning techniques for customers across emails mobile push etc. You will use large language models (LLMs) fuelling the AI growth today use retrieval augmented generation (RAG) along with enhanced prompt engineering as the framework to combine LLMs with information retrieval systems and build models to generate and optimize marketing messages for customers.
Key job responsibilities As an applied scientist in Outbound you will own endtoend model development for generating personalized messages for customers. You will partner with product managers and business stakeholders to understand the business/marketing usecases. You will translate those often openended requirements to scientific problems conduct relevant research and spearhead development of stateoftheart models. You will define success metrics and independently run experiments to gauge efficiency of your models. You will design and setup experiments to gauge efficiency of the messages in realworld. You will present scientific findings product/marketing stakeholders and guide them to take decisions that maximize benefits for Amazon in the longrun. You will code effectively and closely partner with the software engineering team to execute your solutions in production. You will document and publish your researchdriven solutions to influence the scientific community in and outside of Amazon.
Experience building machine learning models or developing algorithms for business application Knowledge of programming languages such as C/C Python Java or Perl
Experience with popular deep learning frameworks such as MxNet and Tensor Flow Experience programming in Java C Python or related language
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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