Applied Scientist - Agentic AI, Amazon Fulfillment Technology
Core
Lead development of agentic systems for operational decision making and orchestration in Amazon's fulfillment network, leveraging multi-agent orchestration, tool use, and LLM training.
Role type
Applied Scientist (Agentic AI)
Builds
Full agentic systems deployed to Amazon buildings for process orchestration
Domain
Logistics / Supply Chain / Machine Learning
Deliverable
production ML models
Required skills
LLM training (SFT, RL, DPO, IPO), multi-agent orchestration, reward modeling, policy optimization, supervised fine-tuning, verbal reinforcement learning, continual learning, agentic memory management, RAG, offline RL, off-policy evaluation, algorithm design, distributed computing
Preferred skills
Unix/Linux, professional software development
Technologies
Python, Java, C++, PPO, GRPO, vector search
Responsibilities
Generate training and preference data for agentic use cases; implement reward modeling and policy optimization; develop evaluation metrics for decision quality; lead research projects and author academic papers
Seniority
Senior, hands-on IC