Agentic AI Scientist: LLMs, Orchestration & Tooling

Amazon Inc.; Asti; Ibrido; EUR 126.000 - 170.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

401(k) matching

Paid time off

Descrizione del lavoro

Amazon Fulfillment Technologies in Bellevue, WA seeks an Applied Scientist to lead the development of agentic AI systems for operational decision making and orchestration across Amazon buildings. You will train LLMs, implement memory and tool-use, and evaluate performance in offline and online settings.

You will mentor interns, publish findings, and contribute to research papers while collaborating with a world-class team focused on scalable AI for fulfillment operations.

Competenze

• PhD or Master’s degree with 4+ years CS/CE/ML experience.
• 3+ years building models for business applications.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, parsing, optimization, data mining.

Mansioni

• Generate training and preference data for use cases (reasoning trajectories, tool traces).
• Reward modeling and policy optimization for LLMs: DPO, IPO, RLHF/RLAIF with PPO/GRPO.
• Supervised fine-tuning on step-by-step trajectories and tool-use traces.
• Verbal Reinforcement Learning and Continual Learning.
• RL for LLMs, Offline RL and off-policy evaluation.
• Agentic memory/state management; vector search; grounding with RAG.
• Evaluation: develop decision quality metrics and scalable evaluations.

Conoscenze

PhD/MS + 4Y

Model building

Java/C++/Python

Algorithms & data structures

Formazione

PhD or Master’s degree

Strumenti

Unix/Linux

Professional software dev

Descrizione del lavoro

Amazon Fulfillment Technologies in Bellevue, WA seeks an Applied Scientist to lead the development of agentic AI systems for operational decision making and orchestration across Amazon buildings. You will train LLMs, implement memory and tool-use, and evaluate performance in offline and online settings.

You will mentor interns, publish findings, and contribute to research papers while collaborating with a world-class team focused on scalable AI for fulfillment operations.