Senior Staff Machine Learning Engineer

PayPal
San Jose
Workplace: OnsiteFull timeUSD 227,639 - 300,500 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Collaboration","Leadership","Performance monitoring","Data analysis","Automation testing"]

Define and drive the strategic vision for embedding machine learning capabilities into the software ecosystem. Design and build end-to-end ML models, optimizing performance for production products and services while monitoring deployed model health. Work with Engineering and Data Science teams to create data analytics pipelines, deploy and maintain ML solutions, and implement CI/CD workflows with automated testing. Analyze large datasets using cloud and distributed computing tools (e.g., Spark) to meet scalability and reliability goals.

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FursaFursa
PayPal
PayPal
1 day ago

Senior Staff Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Define and drive the strategic vision for embedding machine learning capabilities into the software ecosystem. Design and build end-to-end ML models, optimizing performance for production products and services while monitoring deployed model health. Work with Engineering and Data Science teams to create data analytics pipelines, deploy and maintain ML solutions, and implement CI/CD workflows with automated testing. Analyze large datasets using cloud and distributed computing tools (e.g., Spark) to meet scalability and reliability goals.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define and drive the strategic vision for implementing ML functions into the software ecosystem.
  • •Analyze software product architecture and build ML models using algorithmic programming, database practices, and query languages.
  • •Optimize ML models for integration into products/services and monitor/evaluate deployed model performance with adjustments.
  • •Organize and analyze large datasets and build data analytics pipelines, deploying ML solutions into production environments.
  • •Define testing sequences, create automated tests, and deliver high-quality code through CI/CD for continuous delivery.

Pay and Benefits

Salary: USD 227,639 - 300,500 annually
Equity and Bonus:Equity
Perks:Health InsurancePaid Leave

Key Requirements

  • •Bachelor’s degree (or foreign equivalent) in Computer Science, Data Science, Information Systems, or a related field plus 8 years of progressively responsible experience in the role or a related occupation.
  • •8+ years developing machine learning models end-to-end and managing external-facing ML models.
  • •8+ years in Python and SQL programming for predictive feature evaluation and statistical modeling.
  • •Experience deploying and maintaining ML solutions in production, including tools for data processing and model deployment.
  • •6+ years each leading design/implementation/deployment of ML models and building CI/CD pipelines for continuous delivery (with Agile experience).
Experience:8+ yearsMachine learningFintechBankingFraud risk
Education:Bachelor's
Skills:CollaborationLeadershipPerformance monitoringData analysisAutomation testing
Tech Stack:PythonSQLSparkAWSAzureGCPCI/CDContinuous Integration and Continuous DeliveryPyTorchTensorFlowXGBoostScikit-learnAWS SageMakerNatural Language ProcessingAgile Methodology

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