Applied Scientist - Agentic AI, Amazon Fulfillment Technology

Amazon Inc.; Cincinnati (OH); Vor Ort; USD 143.000 - 193.000; Vollzeit

Benefits dieser Stelle

Health insurance

RSUs

401(k) matching

Paid time off

Zusammenfassung

Amazon Fulfillment Technologies (AFT) is seeking an Applied Scientist to lead the development of agentic AI systems for operational decision making and orchestration across Amazon buildings. You will work on multi-agent orchestration, tool use, memory, and action execution, and train LLMs using rejection sampling, SFT, continual post-training, and RL.

You will conduct rigorous offline and online evaluations, mentor interns, and publish findings to summarize progress for external publication.

Qualifikationen

• 3+ years of building models for business applications.
• PhD, or Master's plus 4+ years in CS/CE/ML or related field.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing.

Aufgaben

• Generate training and preference data for reasoning trajectories and tool traces.
• Model reward and policy optimization for LLMs (DPO, IPO, RLHF/RLAIF).
• Fine-tune models on step-by-step trajectories and tool-use traces.
• Advance verbal reinforcement learning and continual learning.
• Apply RL for LLMs and offline RL with off-policy evaluation.
• Manage agentic memory, vector search, and grounding with RAG.
• Evaluate and scale LLM-based decisions.

Kenntnisse

Modeling experience

Programming languages

Algorithms & data structures

Experience with ML for business

Ausbildung

PhD

MS + 4+ years CS/ML

Tools

Unix/Linux

Jobbeschreibung

Applied Scientist - Agentic AI, Amazon Fulfillment Technology

Job ID: 10545210 | Amazon.com Services LLC

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).

These systems are deployed to Amazon buildings, and you will also work on rigorous offline and online evaluations.

Your work will leverage the latest LLMs to develop capabilities for agentic reasoning, coding and analytics. You will also lead research projects to tackle unsolved problems, mentor interns, and author academic papers to summarize your findings for external publication.

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

• 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
• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.