ResearchScientist,Outbound

Outbound Communications organization is seeking a highly motivated Senior Research Scientist. In Outbound, we are innovating and building scientific solutions to delight Amazon customers with timely, highly personalized and relevant messages across digital channels such as email, mobile push notifications, WhatsApp and SMS. As a Research Scientist in Outbound, you will architect and develop the scientific models for the next generation Outbound message management service that sends 100s of millions of communications (push, email, etc) to worldwide Amazon customers everyday plausibly within minutes of customer-actions on amazon.com. The models handle decisions such as scheduling and optimization across message-ranking, timing and frequency across these messages that drive $20B+ of annual revenue for Amazon. You will use techniques such as reinforcement learning and multi-armed bandits (MAB) to optimize long-term engagement of customers with Amazon. The models and architecture you build ensure a high bar for customer experience through scientifically established guardrails that would use large language models (LLMs). You will own and present research artifacts to internal and external science forums, along with influencing senior leadership and stakeholders for strategic decision-making. Key job responsibilities As a Research Scientist in Outbound, you will design and develop science models in a highly ambiguous message-management domain that handles scheduling and dispatch decisions of 100s of millions of messages everyday. These models will decide what messages we send to customers, at what times, and through what channels to optimize the long-term customer engagement. You will research and apply state of the art modeling methods such as reinforcement learning, bandits, neural networks, causal modeling methods and LLMs to optimize the message selection, timing and channel of communication for customers. At the crux of architecting these models is influencing the sof