Senior Applied Scientist, Amazon Fulfillment Technology

Who you are

You have a PhD and over 3 years of experience building machine learning models for business applications — your expertise lies in developing innovative solutions that enhance operational decision-making processes. You are well-versed in Reinforcement Learning and have a strong understanding of agentic systems, enabling you to tackle complex problems effectively.

Your background includes training large language models (LLMs) using various techniques such as supervised fine-tuning and reinforcement learning — you are familiar with reward modeling and policy optimization methods like DPO, IPO, and RLHF. You have experience in generating training data for specific use cases and are skilled in evaluating decision quality metrics.

You possess strong analytical skills and are comfortable working with multimodal models — your ability to mentor interns and author academic papers demonstrates your commitment to knowledge sharing and research. You thrive in collaborative environments and enjoy leading research projects that push the boundaries of technology.

Desirable

Experience with agentic memory and state management is a plus — you understand the importance of episodic and semantic memory in developing intelligent systems. Familiarity with vector search and grounding techniques will enhance your contributions to the team.

What you'll do

As a Senior Applied Scientist at Amazon, you will lead the development of advanced agentic systems that assist with operational decision-making and orchestration. Your role will involve training LLMs using a combination of supervised fine-tuning and reinforcement learning techniques, ensuring that the models are optimized for performance and accuracy.

You will generate training and preference data for specific use cases, focusing on reasoning trajectories and tool traces — your work will directly impact the efficiency of Amazon's fulfillment processes. You will also be responsible for reward modeling and policy optimization, utilizing methods such as DPO, IPO, and RLHF to enhance the capabilities of LLMs.

In addition to your technical responsibilities, you will mentor interns and lead research projects aimed at solving unsolved problems in the field — your contributions will be documented in academic papers for external publication, showcasing the innovative work being done at Amazon Fulfillment Technologies.

What we offer

At Amazon, you will be part of a team that powers the global fulfillment network, inventing and delivering software, hardware, and data science solutions that harmonize the physical and virtual worlds. We offer a competitive compensation package, including equity and comprehensive benefits, to support your well-being and professional growth.

Join us in shaping the future of fulfillment technology — your work will have a direct impact on how Amazon customers receive their orders, ensuring they get what they want, when they want it. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.