Benefits at Sezzle

As a Principal Machine Learning Engineer, you will design, develop, and deploy machine learning models for personalized recommendations, fraud detection, and credit risk assessment. You will lead the creation of scalable machine learning solutions, collaborate with product teams, and mentor other engineers while ensuring robust infrastructure and support for AI-driven features.

The Risk & Fraud Product Manager will oversee monitoring, measuring, and testing risk and fraud products, design and launch new features, work closely with engineering teams, and engage with stakeholders to drive product innovation and improvements in fraud prevention processes.

The Quality Engineer will develop test plans and implement automated tests to ensure application quality. They will partner with product engineers and designers, improve test framework architecture, and adhere to best practices in code and testing. Manual testing may also be required to support releases until automation is achieved.