ML Scientist: Risk & Fraud Prevention, Real-Time

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

Benefits offered by this job

Health benefits including medical/dent

Job summary

Amazon seeks a talented scientist for the Buyer Risk Prevention (BRP) ML group to build advanced algorithms that safeguard millions of transactions daily. You will work with terabytes of data, own end-to-end business problems, and collaborate across teams to deliver scalable risk solutions.

The role emphasizes strong ML skills, experience with Java/C++/Python, and a track record of deploying models in production. Seattle-based, with competitive benefits and RSU eligibility.

Qualifications

• PhD in CS/ML or Master’s with 4+ years in CS/ML fields.
• Experience building models for business applications is required.
• Proficiency in Java, C++, Python or related languages.

Responsibilities

• Use ML and GenAI to create scalable risk management systems.
• Learn from large historical data to identify risk trends.
• Design, develop and evaluate novel models for risk management.
• Collaborate with software engineering to deploy real-time models and new features.
• Work with operations to optimize risk management processes.
• Establish scalable data analyses, model development, validation, and deployment pipelines.
• Provide regular management reporting on business activity and risk metrics.
• Research and implement new ML and statistical methods.

Skills

Java

C++

Python

SQL

Spark

GenAI

Machine Learning

Education

PhD in CS/ML

Master's in CS/ML with 4+ years experience

Tools

Spark

Perl

Python

Job description

Amazon seeks a talented scientist for the Buyer Risk Prevention (BRP) ML group to build advanced algorithms that safeguard millions of transactions daily. You will work with terabytes of data, own end-to-end business problems, and collaborate across teams to deliver scalable risk solutions.

The role emphasizes strong ML skills, experience with Java/C++/Python, and a track record of deploying models in production. Seattle-based, with competitive benefits and RSU eligibility.