Machine Learning Engineer
: Job Details :

Overview

We are seeking a talented Machine Learning Engineer to join our team and focus on building advanced fraud prediction models. This role involves developing core decision models for various aspects of fraud prevention, including identity, onboarding, authentication, abuse, scam, and product-specific models. The ideal candidate will leverage anomaly detection, supervised learning, and experiential learning techniques to create robust and effective fraud prevention solutions.

Responsibilities

• Model Development: Design and implement core decision models for identity, onboarding, authentication, abuse, scam, product-specific models.
• Anomaly Detection: Develop and refine algorithms for detecting anomalies and identifying potential fraud patterns.
• Supervised Learning: Apply supervised learning techniques to build predictive models that accurately identify fraudulent activities.
• Continuous Learning: Utilize continual learning methods to continuously improve model performance and adapt to new fraud tactics.
• Collaboration: Work closely with cross-functional teams, including tech, operations, and product teams, to integrate fraud prediction models into various systems and processes.
• Experimentation and Analysis: Conduct experiments, analyze results, and interpret findings to drive innovation and enhance decision-making processes.
• Data Integrity: Ensure data integrity and consistency by working closely with business stakeholders and engineers to address critical data challenges.
• Advocacy: Promote and maintain a data-driven culture by engaging with diverse internal teams and advocating for best practices in data science and fraud prevention.

Minimum Qualifications

• Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Familiarity with ML frameworks like TensorFlow or scikit-learn.
• Strong analytical and problem-solving skills.

Compensation and Benefits

PayPal is committed to fair and equitable compensation practices. The total compensation for this role may include base salary, annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit the PayPal benefits site.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law. PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you require assistance with accessibility, please contact ...@paypal.com.

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