Staff Machine Learning Engineer

This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems.

You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions.

Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Job Duties: Manage FSI Data Integration Project with Risk Models. Work with Infra and Online Engineering Teams to ensure the relevant features can and will be exposed to the different system checkpoints. Verify and validate exposure as online variables, such as existence and quality. Work with the Global Analytics and Data Science teams to enumerate the features. Perform feature comparisons to identify where the unique features engineered by FSI can provide measurable uplift. This work will scale across models for multiple fraud domains, including account takeover, collusion, seller risk, credit risk, and more. Work with model developers on a development plan and will ensure they are able to use FSI features and assist them in case of issues. Create a New Risk Model Based on Linking Features. Work with a Data Science team that developed LEGO, an internal graph-based tool for generating online variables, to check if it could be used for FSI objectives. Investigate embedding features to be used as a possible advanced solution for upstream tasks that would be able to represent the entire FSI intelligence in just a few features. Develop a proof of concept (POC) and will perform a results comparison with the current solution to ensure better outcomes. Develop the complete automated tool and will perform the required experiments to ensure it works as expected and monitors its performance. Transform FSI Data into Graph Infrastructure. Apply Graph Data Science Insights to FSI Linking Automation. Automate the Detection of New Risky Features. Telecommuting permitted – work may be performed from anywhere in the US.

Additional Responsibilities & Preferred Qualifications : Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering (any field), or a closely related field plus four years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering (any field) or a closely related field plus six years of experience in the job offered or a related occupation.

Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing,physical, emotional, and financial,delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.