Applied Scientist: AI & LLMs for Agentic Shopping

Amazon; Seattle (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

RSUs

Sign-on bonus

401k matching

Paid time off

Parental leave

Job summary

Amazon is seeking a passionate Applied Scientist to build agentic AI solutions for BuyForMe, shaping AI-driven shopping experiences. You will work across ML/NLP, conduct experiments with real customer data, and collaborate with engineers and product managers to translate business challenges into scalable scientific outcomes.

The role emphasizes state-of-the-art model development, evaluation, and safety, with opportunities for publications and patents in a high-impact product environment.

Qualifications

• 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.

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.

Skills

Java

C++

Python

Education

Master's degree in computer science or related quantitative field

Tools

SQL

RDBMS

Job description

Amazon is seeking a passionate Applied Scientist to build agentic AI solutions for BuyForMe, shaping AI-driven shopping experiences. You will work across ML/NLP, conduct experiments with real customer data, and collaborate with engineers and product managers to translate business challenges into scalable scientific outcomes.

The role emphasizes state-of-the-art model development, evaluation, and safety, with opportunities for publications and patents in a high-impact product environment.