Protecting Amazon customers from hackers and bad actors by building advanced algorithmic systems that help manage the trust and safety of millions of customers every day.
Requirements
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
- Experience implementing algorithms using both toolkits and self-developed code
Responsibilities
- Use statistical and machine learning techniques and Generative AI to create scalable risk management systems
- Analyzing and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends
- Design, development and evaluation of highly innovative models for risk management
- Working closely with software engineering teams to drive real-time model implementations and new feature creations
- Working closely with operations staff to optimize risk management operations
- Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Research and implement novel machine learning and statistical approaches
Other
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Have publications at top-tier peer-reviewed conferences or journals
- If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
- The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market.
