Applied Scientist – GenAI Fraud & Risk Solutions

Amazon Science; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Parental leave

Job summary

Amazon Science in Seattle, WA is seeking an ML Scientist to build end-to-end fraud detection systems using GenAI, LLM, and VLM technologies to scale operations and protect customer trust. You will collaborate with business and engineering teams to design, develop, and deploy production-grade ML solutions, analyzing terabytes of data and delivering impactful results for Amazon's selling platforms.

This role offers involvement in cutting-edge research, mentorship, and a comprehensive benefits

Qualifications

• PhD or Master’s degree with 4+ years in CS/CE/ML.
• Proficient in Java, C++, or Python.
• Experience with algorithms, data mining, HPC, parallel computing.

Responsibilities

• Innovate with GenAI/LLM/VLM to build automated fraud detection and risk evaluation solutions.
• Design, develop and deploy end-to-end ML solutions in production environments to create business value.
• Collaborate with business and engineering teams to deliver scalable ML systems and insights.

Skills

Java

C++

Python

Algorithms & data structures

Parallel and distributed computing

Education

PhD or Master’s in CS/CE/ML

Job description

Amazon Science in Seattle, WA is seeking an ML Scientist to build end-to-end fraud detection systems using GenAI, LLM, and VLM technologies to scale operations and protect customer trust. You will collaborate with business and engineering teams to design, develop, and deploy production-grade ML solutions, analyzing terabytes of data and delivering impactful results for Amazon's selling platforms.

This role offers involvement in cutting-edge research, mentorship, and a comprehensive benefits