About the job
Do you want to shape the next generation of AI-driven customer experiences for Amazon’s most ground-breaking products? Join us and help invent the future of shopping. 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.
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.
Qualifications
Minimum
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
Preferred
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.