Machine Learning Engineer

PayPal
San Jose
Workplace: HybridFull timeUSD 187,741 - 270,500 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communicating results","Collaboration","Experimentation","Stakeholder communication"]

Design, develop, and deploy predictive machine learning models for PayPal’s risk and merchant lending use cases. Work with large-scale data to build credit models for delinquency, fraud, and repayment behavior, and run experiments to improve performance and enable deployment. Communicate modeling results to stakeholders through visualization, ensure regulatory compliance, and strengthen internal risk controls to improve operational efficiency and user experience.

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FursaFursa
PayPal
PayPal
1 day ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Design, develop, and deploy predictive machine learning models for PayPal’s risk and merchant lending use cases. Work with large-scale data to build credit models for delinquency, fraud, and repayment behavior, and run experiments to improve performance and enable deployment. Communicate modeling results to stakeholders through visualization, ensure regulatory compliance, and strengthen internal risk controls to improve operational efficiency and user experience.
Location: San Jose
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, develop, implement, deploy, and monitor predictive machine learning models using neural networks and tree-based models.
  • •Work with large volumes of data to extract insights and engineer features for modeling.
  • •Collaborate with ML scientists and engineers to formulate solutions, run experiments, and implement advanced techniques to solve business problems.
  • •Build credit models to predict delinquency, fraud, and repayment behavior for merchant loans, and facilitate model deployment.
  • •Ensure credit model compliance to regulation, enhance internal risk controls, and improve operational efficiency; communicate results via visualization to stakeholders.

Pay and Benefits

Salary: USD 187,741 - 270,500 annually
Perks:Health InsurancePaid Leave

Key Requirements

  • •Master’s degree (or foreign equivalent) in Mathematics, Statistics, or a closely related field.
  • •Develop and deploy machine learning models using Python, including NumPy and PyTorch frameworks.
  • •Write and optimize SQL queries in Google BigQuery or HiveQL for feature engineering on high-volume data.
  • •Implement deep learning architectures including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and Transformers.
  • •Conduct statistical analysis using regression modeling and hypothesis testing, including experimental design for model building and selection.
Education:Master's in Mathematics, Statistics, or a closely related field
Skills:Communicating resultsCollaborationExperimentationStakeholder communication
Tech Stack:PythonNumPyPyTorchSQLGoogle BigQueryHiveQLTransformersConvolutional neural networks (CNNs)Recurrent neural networks (RNNs)NLPPython visualizationExcelUnix command lineBashGitJupyter NotebooksGoogle Colab

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

PayPal
Global online payments platform enabling digital and mobile payments, money transfers, and merchant services for consumers and businesses, supporting e‑commerce transactions across multiple currencies and payment methods.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1998
WebsiteLinkedIn