Applied Scientist-LLM, Buy For Me
Amazon · Seattle, Washington, USA ·
- Category
- AI engineering
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 through browser use agents.
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 web agent frameworks, LLM fine-tuning, reinforcement learning, context engineering, RAG, MCP, and automated benchmarking to improve pre-purchase, in-purchase, and post-purchase workflows.
Key job responsibilities
As an Applied Scientist on our team, you will:
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.
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 through browser use agents.
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 web agent frameworks, LLM fine-tuning, reinforcement learning, context engineering, RAG, MCP, and automated benchmarking to improve pre-purchase, in-purchase, and post-purchase workflows.
Key job responsibilities
As an Applied Scientist on our team, you will:
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.