Applied Scientist II, Workforce Intelligence powered by Scientific Engineering, Workforce Planning
Core
Build ML/AI solutions for workforce planning, optimization, and LLMs to support Amazon's enterprise-wide workforce composition and organizational structure.
Role type
Applied Scientist (ML/AI, Optimization, LLMs)
Builds
Advanced optimization models and LLM solutions for workforce planning
Domain
Workforce Intelligence / Scientific Engineering / People Analytics
Deliverable
production ML models
Required skills
Machine learning, advanced analytics, numerical optimization, algorithms and data structures, parallel and distributed computing, high-performance computing, Java, C++, Python
Preferred skills
Unix/Linux, professional software development
Technologies
Java, C++, Python, LLMs
Responsibilities
Drive engineering execution and advise on design/technology trade-offs, manage diverse requests and dependencies, define and implement process improvements, interface with stakeholders to balance business needs vs technical constraints, monitor metrics and program health
Seniority
Mid-Senior, hands-on IC
