Principal MTS, Machine Learning Engineer

PayPal, a global leader in financial technology, is seeking a Principal Machine Learning Engineer to spearhead the development of cutting-edge ML systems. This role presents an exciting opportunity to work at a company that has been revolutionizing commerce globally for more than 25 years, serving approximately 200 markets worldwide.

The position offers a competitive salary range of $120,300 to $287,100, along with comprehensive benefits including health coverage, equity options, and a flexible hybrid work model. As a Principal MTS, Machine Learning Engineer, you'll lead end-to-end ML initiatives, from research and prototyping to deployment and production monitoring, while collaborating with cross-functional teams to define long-term ML strategy.

The role requires 8+ years of experience in Machine Learning or related fields, with strong Python programming skills and deep expertise in ML libraries. You'll be responsible for architecting scalable ML infrastructure, implementing state-of-the-art algorithms, and driving best practices in data preprocessing and model training. Leadership skills are essential, as you'll mentor other engineers and communicate technical concepts to stakeholders at all levels.

PayPal offers an inclusive work environment where you'll be part of a team that's reshaping the future of financial services. The company's two-sided network connects millions of merchants and consumers, providing innovative solutions for digital payments and commerce. You'll work on challenging problems at scale, with access to large datasets and modern infrastructure, while contributing to products that impact hundreds of millions of users globally.

Benefits include comprehensive health and wellness programs, retirement resources, a unique sabbatical program, and extensive professional development opportunities. The company strongly values diversity and inclusion, maintaining a workplace where all employees can thrive and contribute to PayPal's mission of democratizing financial services.

This role is perfect for someone who combines technical excellence in machine learning with leadership capabilities and wants to make a significant impact in the fintech industry. You'll be working in a hybrid model from San Jose, California, with the flexibility to balance office collaboration and remote work.