Applied Scientist - Machine Learning, Amazon Transportation
Core
Invent and build machine learning models to plan and operate Amazon's middle mile transportation network, optimizing routing, scheduling, and capacity for truck, train, and air freight.
Role type
Applied Scientist (Machine Learning & Operations Research)
Builds
Production-level ML models, forecasting systems, and optimization algorithms for the transportation network
Domain
Logistics, Supply Chain, Transportation, Machine Learning
Deliverable
production ML models
Required skills
Machine learning model development, algorithm design, statistical modeling, data analysis, simulation/experimentation, GenAI application, technical design, code review
Preferred skills
Professional software development, forecasting, linear programming, nonlinear optimization
Technologies
Java, C++, Python, random forests, gradient-boosted regression, LASSO, logistic regression
Responsibilities
Design and develop ML/forecasting models for optimization systems; Build models from prototype to production; Translate business problems into modeling approaches; Influence business decisions via rigorous analysis; Analyze data to identify model improvements; Write and present technical papers
Seniority
Senior, hands-on IC