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Senior Machine Learning Engineer
PayPalMachine learning engineer developing scalable models and pipelines for PayPal’s global payments network. Deploying AI solutions to improve business insights and customer experiences.
Posted 9/4/2026full-timeSan Jose • California, Texas • 🇺🇸 United StatesSenior💰 $159,500 - $176,150 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, developing, and deploying machine learning models and algorithms, with a strong focus on data quality and performance evaluation. Proficient in utilizing ML frameworks and cloud platforms to drive business insights and enhance customer experiences.
Highest-signal resume keywords
Machine Learning Model DevelopmentTensorFlowPyTorchAWSData Processing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Machine LearningModel DeploymentData AnalysisAlgorithm DesignModel Optimization
Tools & Technologies
Cloud PlatformsML FrameworksData Processing Tools
Certifications & Qualifications
Bachelor's DegreePhD in Computer Science
Industry Keywords
AI/ML SolutionsScalable Machine Learning PipelinesData QualityModel Performance Monitoring
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPyTorchScikit-LearnSpringTensorflow
About the role
Key responsibilities & impact- Design, develop, and implement machine learning models and algorithms for complex problems
- Work with data scientists, software engineers, and product teams on AI/ML solutions
- Build scalable machine learning pipelines
- Ensure data quality
- Deploy models into production environments
- Develop and optimize machine learning models
- Preprocess and analyze large datasets
- Integrate ML models into products and services
- Monitor and evaluate deployed model performance
- Drive business insights and improve customer experiences
Requirements
What you’ll need- 3+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience
- Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Familiarity with cloud platforms including AWS, Azure, or GCP
- Familiarity with tools for data processing and model deployment
- Several years of experience designing, implementing, and deploying machine learning models
- Recent graduate: graduated within the past 12 months or graduating by Spring 2027
- PhD degree in Computer Science or a related field from an accredited college or university
- Must be legally able to work without PayPal visa sponsorship; visa sponsorship is not available now or in the future
Benefits
Comp & perks- Annual performance bonus
- Equity or other incentive compensation, as applicable
- Balanced hybrid work model: 3 days in the office and 2 days at the PayPal office or home workspace
- Generous paid time off
- Healthcare coverage for you and your family
- Resources supporting financial security
- Mental health support
- Reasonable accommodations for qualified individuals with disabilities