About the job
Work at the intersection of Generative AI, AI Agents, and large-scale ML, helping build Amazon's world-class advertising business.
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
Qualifications
Minimum
3+ years of building models for business application experience
PhD, or Master's 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
Preferred
Experience in designing experiments and statistical analysis of results
Experience with popular deep learning frameworks such as MxNet and Tensor Flow