Sr Applied Scientist III, Supply Chain Optimization Technologies - SCAIL
Core
Developing innovative Reinforcement Learning (RL) algorithms and applying them to optimize Amazon's global inventory and supply chain network.
Role type
Senior Applied Scientist (Reinforcement Learning)
Builds
Global inventory planning systems and decision-making algorithms for billions of dollars of inventory.
Domain
Supply Chain Optimization / Reinforcement Learning
Deliverable
production ML models
Required skills
Reinforcement Learning, neural deep learning methods, Java, C++, Python, large scale distributed systems
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop
Responsibilities
Design, implement, and evaluate innovative models, agents, and software prototypes; collaborate with partner teams to solve complex business problems; contribute to academic research and publish findings in top-tier journals and conferences.
Seniority
Senior, hands-on IC
