Applied Scientist, Perfect Order Experience (POE)
Core
Develop and deploy domain-specific foundation models (GenAI, LLM, tabular, behavior) for product risk detection, seller interaction analysis, and future behavior prediction to enhance the Amazon seller ecosystem.
Role type
Senior Applied Scientist (GenAI/Foundation Models)
Builds
GenAI foundation models, product risk detection systems, seller behavior prediction tools
Domain
E-commerce / Generative AI / Machine Learning
Deliverable
production ML models
Required skills
Foundation model development, GenAI/LLM adaptation, tabular model innovation, behavior modeling, model deployment, Java/C++/Python programming, theoretical model application
Preferred skills
Deep learning architecture design, deep learning training and optimization, model pruning
Technologies
GenAI, Large Language Models (LLM), tabular models, Java, C++, Python
Responsibilities
Develop domain-specific foundation models; Apply models to product risk detection, seller interactions capturing, and behavior prediction; Collaborate with business and engineers to deploy solutions
Seniority
Senior, hands-on IC