Applied Scientist - Agentic AI, Amazon Fulfillment Technology AI Science

Socket.dev; Bellevue (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Fulfillment Technologies in Bellevue, WA seeks an Applied Scientist to lead the development of agentic systems that assist with operational decision making and orchestration. You will build full agentic systems using multi-agent orchestration, tool use, memory, and action execution.

Training of LLMs will involve rejection sampling, SFT, continual post-training, and RL. Responsibilities include data generation for reasoning trajectories, reward modeling, policy optimization for LLMs,

Qualifications

• PhD or Master’s degree with 4+ years of CS/CE/ML related experience.
• Experience building models for business applications.
• Proficiency programming in Java, C++, Python.

Responsibilities

• Lead development of agentic systems for operational decision making and orchestration.
• Generate training and preference data (reasoning trajectories, tool traces).
• Perform reward modeling and policy optimization for LLMs (DPO, IPO, RLHF/RLAIF with PPO/GRPO).
• Fine-tune supervised trajectories and tool-use traces.
• Advance Continual Learning and Verbal Reinforcement Learning.
• Evaluate decision quality metrics and scale LLM-based evaluations.

Skills

Java

C++

Python

Algorithms

Data mining

Education

PhD or MS with 4+ years in CS/CE/ML

Tools

Unix/Linux

Job description

As an Applied Scientist in Amazon Fullfilment Technology, you will lead the development of agentic systems to assist with operational decision making and orchestration. You will work building full agentic systems leveraging multi-agent orchestration, tool use, memory, and action execution. You will train LLMs using a combination of rejection sampling approaches, SFT, continual post-training, and Reinforcement Learning (RL).

Key job responsibilities

• Generating training and preference data for specific use cases (reasoning trajectories, tool traces)
• Reward modeling and policy optimization for LLMs: DPO, IPO, RLHF/RLAIF with PPO/GRPO, rejection sampling.
• 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; episodic and semantic memory; vector search; grounding with RAG.
• Evaluation: developing decision quality metrics, scaling LLM-based evaluations.

About the team: Amazon Fulfillment Technologies (AFT) powers Amazon's global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it. Learn more about AFT: https://tinyurl.com/AFTOverview

Basic Qualifications

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 3+ years of building models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually