Applied Scientist, Amazon Ads, Demand Forecasting & Guidance

Work at the intersection of Generative AI, AI Agents, and large-scale ML, helping build Amazon's world-class advertising business.

Key job responsibilities • Lead and contribute to end-to-end ML initiatives with high ambiguity, scale, and complexity from problem formulation through production deployment • Develop and optimize forecasting models by performing hands-on analysis of large-scale datasets to improve ad delivery prediction accuracy and operational efficiency • Build, experiment, and deploy machine learning models through rapid prototyping, rigorous experimentation, and close collaboration with software engineering teams for seamless productization. • Design and execute A/B experiments, collect performance data, and conduct statistical analysis to validate model impact • Establish scalable ML infrastructure including automated pipelines for data processing, model training, validation, and serving • Advance the state of the art by researching innovative machine learning techniques and applying them to forecasting challenges

About the team

You'll join a highly motivated, collaborative, and entrepreneurial team with a broad mandate to experiment, innovate, and break new ground. Here, your work will directly influence advertiser success and shape the future of programmatic advertising.