Amazon·E-commerce·5 days ago
5 days ago
Applied Scientist - Agentic AI, Amazon Fulfillment Technology AI Science
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What you'll do
- 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.
What they're looking for
- 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
Nice to have
- Experience using Unix/Linux
- Experience in professional software development
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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
- 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
- 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.
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually
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
- 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
E-commerce
Company
AmazonE-commerce
Bellevue, United States of America
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