Applied Scientist III, Sponsored Products and Brands - Advertiser Growth - Cross-border Seller Experience (CBSX)
Core
Build agentic and ML systems that autonomously create, structure, and manage ad campaigns for cross-border advertisers on Amazon, removing barriers to growth and simplifying the advertising lifecycle.
Role type
Senior Applied Scientist (Generative AI & Autonomous Systems)
Builds
Autonomous campaign management solutions, GenAI-powered advertising tools, and large-scale ML pipelines for cross-marketplace operations.
Domain
E-commerce advertising, Generative AI, Cross-border commerce
Deliverable
production ML models | product features
Required skills
Machine learning model development, Neural deep learning methods, Java/C++/Python programming, Agentic system design, Large-scale distributed systems, Data curation and signal definition, Model customization, Mentoring
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Airflow
Technologies
Spark/EMR, Airflow, MCP, ReAct, CoT/ToT
Responsibilities
Build agentic ML systems for autonomous campaign management; Innovate on GenAI-powered advertising methods; Develop models across the campaign lifecycle (ranking, prediction, optimization); Define and curate datasets for training and evaluation; Own core parts of the agentic architecture (planning, reasoning frameworks); Write production-quality code for large-scale pipelines; Mentor scientists and engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities
