Senior Applied Scientist, Amazon Business - External Integrations
Core
Design and implement ML and GenAI capabilities for Amazon Business external integrations, enabling smarter, faster, and more reliable connections between Amazon Business and partner procurement, ERP, and finance systems.
Role type
Senior Applied Scientist (ML/GenAI)
Builds
APIs, protocols, and agentic experiences for external system integrations
Domain
E-commerce / Enterprise Procurement / Machine Learning / Generative AI
Deliverable
production ML models
Required skills
ML research, LLM-based methods, agentic shopping, product search and matching, schema and data mapping, automated evaluation of agent quality, Java, C++, Python
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, large scale distributed systems (Hadoop, Spark)
Responsibilities
Design novel ML and LLM-based methods for agentic shopping and data mapping; integrate ML components into production systems; lead scientific strategy for expanding agentic capabilities; mentor scientists and engineers; collaborate with engineering and product teams to ensure robust data pipelines.
Seniority
Senior, hands-on IC with research leadership