About the job
We are looking for a strong Applied Scientist to join Long-Term Planning and Forecasting (LTPF) within Supply Chain Optimization Technologies (SCOT). Our mission is to accelerate the Amazon flywheel and ensure Amazon's long-term success by leveraging GenAI and RL to build the forecasting, optimization, and analytics products that plan Amazon's Topline, Inventory, and Fulfillment Capacity and Topology.
Responsibilities
- Develop next-generation forecasting, planning and insight generation products powered by GenAI and reinforcement learning
- Design and implement novel, sophisticated scientific solutions to large-scale problems that directly shape how Amazon plans for the years ahead
- Collaborate closely with applied scientists, research scientists, economists, product managers, and software engineers
- Communicate complex technical concepts and drive data-driven decisions at massive scale
Qualifications
Minimum
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
Preferred
- Experience developing, deploying and managing AI products at scale
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Familiarity with evaluating and continuously improving GenAI/agentic systems in production