Applied Scientist-LLM, Buy For Me

Amazon • Santa Clara, CA

36d • Onsite

About The Position

We are seeking a passionate, innovative, and highly skilled Applied Scientist with expertise in AI, Agentic LLMs, Generative AI, Machine Learning, and NLP to help build LLM-powered solutions for Amazon’s BuyForMe product, which enables Amazon customers to discover and purchase products from any merchants. Our team develops science and agentic AI capabilities that power a seamless, end-to-end shopping experience for Amazon customers. We build and advance technologies such as agentic frameworks, LLM fine-tuning, reinforcement learning, prompt engineering, RAG, MCP, and automated benchmarking to improve pre-purchase, in-purchase, and post-purchase workflows.

Requirements

• Experience programming in Java, C++, Python or related language
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
• Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field

Nice To Haves

• Experience implementing algorithms using both toolkits and self-developed code
• Have publications at top-tier peer-reviewed conferences or journals
• 1+ years of building machine learning models or developing algorithms for business application experience
• Experience in LLM finetuning, pretraining, testing, and prompt engineering.

Responsibilities

• Invent, implement, and evaluate state-of-the-art models and agentic systems that directly impact customer experience.
• Conduct research that may lead to publications, patents, or cross-Amazon technical influence.
• Collaborate with engineers, product managers, and other scientists to translate business challenges into scalable science solutions.
• Run experiments with real customer data and validate hypotheses in a high-impact product environment.
• Drive excellence in model performance, safety, reliability, and evaluation frameworks.

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level