Applied Scientist II, PXT
Core
Design and implement GenAI/LLM solutions and predictive models to enhance Amazonians' well-being and support data-driven business decisions across HR, corporate, and operations domains.
Role type
Senior Applied Scientist (GenAI/LLM & Predictive Modeling)
Builds
Scalable production AI systems, predictive models, and a talent intelligence layer for workforce analytics.
Domain
Human Resources / People Analytics / Machine Learning
Deliverable
production ML models
Required skills
GenAI/LLM development, foundation model fine-tuning, prompt engineering, predictive modeling, statistical analysis, algorithm design, distributed computing, model evaluation, technical mentorship
Preferred skills
Unix/Linux environment usage, professional software development lifecycle
Technologies
Python, Java, C++, AWS Bedrock, SageMaker, Claude, GPT
Responsibilities
Design and implement novel GenAI/LLM solutions; conduct applied research on LLM applications; build scalable production-ready AI systems; partner with stakeholders to translate business needs into technical solutions; mentor junior scientists; design evaluation frameworks for model performance and bias; publish technical documentation and findings.
Seniority
Senior, hands-on IC with mentorship responsibilities
