Amazon is looking to prevent eCommerce fraud and provide the best customer experience by analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real-world problems.
Requirements
- Experience programming in Java, C++, Python or related language
- 2+ years of building models for business application experience
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in professional software development
Responsibilities
- Use machine learning and statistical techniques to create scalable fraud & abuse detection solutions
- Innovate with the latest GenAI technology to build highly automated solutions for efficient risk evaluation and automated operations
- Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to create impactful business value
- Learn, explore and experiment with the latest machine learning advancements to create the best customer experience
- Build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation
Other
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market.
