Sr Applied Scientist, Amazon Supply Chain
Core
Design and deploy state-of-the-art machine learning models and algorithms to power intelligent supply chain applications at global scale, translating scientific breakthroughs into production systems.
Role type
Senior Applied Scientist (Supply Chain & Generative AI)
Builds
Enterprise supply chain applications leveraging ML, GenAI, and Agentic AI for millions of companies
Domain
Supply Chain Management + Applied AI/ML
Deliverable
production ML models
Required skills
Machine learning model design, Generative AI, Agentic AI, Deep learning, Large language models, Optimization algorithms, Statistical analysis, Software development, Research publication, Mentoring
Preferred skills
Supply chain management concepts (forecasting, planning, sourcing, optimization), LLM deployment on AI acceleration hardware (GPUs, Neuron, TPU), Internet-scale ML experience
Technologies
Python, C/C++, Java, Perl, GPUs, Neuron, TPU
Responsibilities
Design ML models for demand forecasting, inventory optimization, and anomaly detection; Lead GenAI/Agentic AI solution development; Formulate business problems as ML problems; Drive end-to-end projects from ideation to production; Publish research in top-tier conferences; Mentor junior scientists; Collaborate with engineering and product teams; Influence technical strategy and scientific roadmap.
Seniority
Senior, hands-on IC with mentorship responsibilities