Applied Scientist - Generative AI & Agentic LLMs

Amazon; Seattle (WA); Vor Ort; USD 136.000 - 184.000; Vollzeit

Benefits dieser Stelle

Health insurance

401(k) matching

Paid time off

Zusammenfassung

Amazon.com Services LLC is seeking an Applied Scientist to help shape the future of AI-powered customer experiences for the BuyForMe product. You will build and evaluate agentic AI capabilities, fine-tune models, and work across teams to translate business challenges into scalable science solutions.

The role involves running experiments with real customer data, publishing or patenting research, and ensuring safety and reliability in production systems.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Java

C++

Python

NLP

LLMs

Ausbildung

Master's degree in CS/Math/Stats/ML

Tools

SQL

Oracle

Jobbeschreibung

Amazon.com Services LLC is seeking an Applied Scientist to help shape the future of AI-powered customer experiences for the BuyForMe product. You will build and evaluate agentic AI capabilities, fine-tune models, and work across teams to translate business challenges into scalable science solutions.

The role involves running experiments with real customer data, publishing or patenting research, and ensuring safety and reliability in production systems.