Description

Key Skills: Machine Learning, Distributed Systems, Cloud Computing, Statistical Modeling, Risk Management, Fraud Prevention, Real-time Processing, Security, Platform Engineering, Data Engineering

Good to Have Skills: Experience with Amazon Web Services, scalable system architecture, e-commerce platforms, automated decision systems, experimentation frameworks, and working in cross-functional teams with ML scientists. Knowledge of trust and safety mechanisms, abuse prevention systems, and high-volume transaction processing would be beneficial.

Roles & Responsibilities:

• Build and maintain unified risk evaluation systems that process over 50 billion evaluations annually across global transactions.
• Develop self-service capabilities for experimenting with new machine learning models and managing hundreds of risk use cases worldwide.
• Design and implement highly available and scalable distributed systems that support hundreds of millions of transactions globally.
• Work closely with ML scientists to build platforms that prevent bad actors from damaging customer experience.
• Evaluate buyer, seller, and vendor risk across various entities including orders, purchases, and sign-ins in real-time.
• Contribute to automating risk decisions and reducing fraud and abuse through innovative engineering solutions.
• Maintain the highest standards of customer trust and safety while delivering exceptional customer experience

Key Skills

Education

Any Graduate