Machine Learning Engineer

PayPal has been revolutionizing commerce globally for over 25 years, and they are seeking a Machine Learning Engineer to validate and develop machine learning models and algorithms. The role involves building scalable ML pipelines, ensuring data quality, and deploying models into production environments to enhance services through innovative AI/ML solutions.ResponsibilitiesAssist in the development and optimization of machine learning modelsPreprocess and analyze datasets to ensure data qualityCollaborate with senior engineers and data scientists on model deploymentConduct experiments and run machine learning testsStay updated with the latest advancements in machine learningSupport the lead of the team in performing oversight of high-impact statistical model and AI applications in a variety of business function areas, including but not limited to fraud detection, credit underwriting, marketing analytics etcConduct quantitative and qualitative model validation according to Model Risk Management Policy to identify and understand model risk issuesCollaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvementsPerform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal’s AI applications are compliant with ever evolving regulatory expectation such as Responsible AISkills1+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experienceFamiliarity with ML frameworks like TensorFlow or scikit-learnStrong analytical and problem-solving skillsAbility and curiosity to learn various advanced modeling methods/AI techniquesCapability in building effective relationships with various stakeholders including business owners, model owners, model developers and control officersExcellent communication, writing and presentation skillsAn advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering essentialAdvanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs)Possessing advanced coding skills in dealing with big data (e.g., Scikit-learn in Python, Tensorflow, Hadoop, Spark, SQL, etc.)Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics obtained either in academic or financial industryAbility to work effectively both independently and in a team environmentAbility to communicate effectively and establish constructive relationships with stakeholdersBenefitsFlexible work environmentEmployee shares optionsHealth and life insuranceCompany OverviewPayPal is a financial service company that provides online payment solutions to its users worldwide. It was founded in 1998, and is headquartered in San Jose, California, USA, with a workforce of 10001+ employees. Its website is https://www.paypal.com/home.Company H1B SponsorshipPayPal has a track record of offering H1B sponsorships, with 1144 in 2025, 917 in 2024, 775 in 2023, 921 in 2022, 1051 in 2021, 1049 in 2020. Please note that this does not guarantee sponsorship for this specific role.



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