Machine Learning Engineer

PayPal is seeking a Machine Learning Engineer to join their team in developing cutting-edge ML solutions for complex business problems. This role sits at the intersection of AI and financial technology, working on compliance and risk management systems.

The position offers a unique opportunity to work with PayPal's vast global network that connects hundreds of millions of merchants and consumers. You'll be part of a team that's revolutionizing commerce globally, working on systems that enable safe and efficient financial transactions worldwide.

As a Machine Learning Engineer, you'll collaborate with business partners and stakeholders to understand business needs, identify trends, and implement solutions. The role involves designing and deploying real-time machine learning models to solve compliance business problems, ensure regulatory adherence, and enhance internal risk controls.

The ideal candidate should have an M.S. or equivalent in Computer Science or engineering, strong Python programming skills, and experience with modern ML frameworks like PyTorch or TensorFlow. You'll need to be comfortable working with large datasets and have proficiency in SQL.

PayPal offers a competitive compensation package ranging from $60,900 to $147,400, along with comprehensive benefits including health insurance, equity options, and a flexible hybrid work model (3 days in office, 2 days flexible). The company strongly values diversity and inclusion, providing equal opportunities to all candidates.

The role offers significant growth potential within a leading fintech company that's continuously innovating in the global payments space. You'll work on meaningful projects that directly impact how millions of people and businesses handle their financial transactions, while being supported by PayPal's strong culture of inclusion, innovation, collaboration, and wellness.