PayPal is seeking a Senior Staff Software Engineer specializing in Machine Learning to join their Consumer Product Catalog and Search team. This role is crucial in building the next generation of product discovery systems that will serve millions of global shoppers. The position offers a compelling opportunity to work at the intersection of e-commerce and machine learning, focusing on search relevance and recommendations at a global scale.
The role involves developing and optimizing machine learning models for search relevance, collaborating with cross-functional teams, and driving continuous improvement through A/B testing and performance metrics. The ideal candidate will have 8+ years of industry experience with deep learning architectures and a strong foundation in computer science or related fields.
PayPal, a global leader in financial technology, has been revolutionizing commerce for over 25 years. The company operates a two-sided network connecting hundreds of millions of merchants and consumers worldwide, providing innovative solutions for digital payments and commerce. The organization is committed to creating an inclusive and equitable global economy, offering comprehensive benefits and a balanced hybrid work model with 3 days in office and 2 days flexible.
The position offers a competitive salary range of $169,500 to $291,500, along with extensive benefits including health coverage, retirement plans, equity options, and professional development opportunities. The role is based in either San Jose, California or Chicago, Illinois, with a hybrid work arrangement that balances in-person collaboration with flexible work options.
This is an excellent opportunity for a seasoned machine learning engineer looking to make a significant impact on global e-commerce systems while working with cutting-edge technologies and large-scale data. The role combines technical expertise with business impact, offering the chance to shape the future of digital commerce while working for a company that values innovation, inclusion, collaboration, and wellness.