Amazon
Applied Scientist - Agentic AI, Amazon Fulfillment Technology
$143K–$193K
Bellevue, WA · Full-time · Posted Sep 16, 2026
- Experience
- 3+ years building models for business applications; PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
About the job
Develops and deploys agentic AI systems for operational decision-making and orchestration across Amazon fulfillment buildings, including model training and rigorous evaluation.
What you'll do
- Build agentic systems using multi-agent orchestration, tool use, memory, and action execution; train LLMs and evaluate systems offline and online.
- Develop training and preference data, reward models, and optimization methods; work on supervised fine-tuning, reinforcement learning, and continual learning.
- Lead research projects, mentor interns, and publish findings in academic papers.
What they ask for
- 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.
- Programming experience in Java, C++, Python or related language.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Nice to have
- Experience using Unix/Linux.
- Experience in professional software development.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
LLMs, DPO, IPO, RLHF/RLAIF, PPO/GRPO, RAG, Java, C++, Python
AI focus
Build and train agentic AI systems and LLMs, including multi-agent orchestration, tool use, memory, reinforcement learning, continual learning, and evaluation.
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