Machine Learning Engineer

Job Summary This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, 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.

Essential Responsibilities Assist in the development and optimization of machine learning models. Preprocess and analyze datasets to ensure data quality. Collaborate with senior engineers and data scientists on model deployment.

Conduct experiments and run machine learning tests. Stay updated with the latest advancements in machine learning. Minimum Qualifications 1+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience.

Familiarity with ML frameworks like TensorFlow or scikit-learn. Strong analytical and problem‑solving skills. Additional Responsibilities & Preferred Qualifications Support the lead of the team in performing oversight of high‑impact statistical model and AI applications in a variety of business function areas, including fraud detection, credit underwriting, marketing analytics, etc.

Conduct quantitative and qualitative model validation according to Model Risk Management Policy to identify and understand model risk issues. Collaborate with business units and model developers to remediate model issues and provide subject‑matter expert opinion on model improvements. Perform model and AI risk governance related activities in line with enterprise risk framework to ensure PayPal’s AI applications are compliant with evolving regulatory expectations such as Responsible AI.

Qualifications Advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering essential. Advanced knowledge of statistical and machine learning models (logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs). Advanced coding skills in Python with scikit‑learn, TensorFlow, Hadoop, Spark, SQL, etc.

Relevant modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics obtained either academically or in industry. Ability to work effectively both independently and in a team environment. Excellent communication, writing and presentation skills; ability to build constructive relationships with stakeholders.

Equal Employment Opportunity Statement 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 federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected]. #J-18808-Ljbffr