FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Machine Learning Engineer
PayPalMachine Learning Engineer developing scalable models and pipelines for PayPal’s global payments platform. Deploying AI/ML solutions to improve business insights and customer experiences.
Posted 9/4/2026full-timeSan Jose • California, Texas • 🇺🇸 United StatesJunior💰 $129,500 - $152,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in designing, developing, and implementing machine learning models and algorithms, with a strong focus on data preprocessing, model optimization, and deployment in production environments. Demonstrates analytical and problem-solving skills to enhance services through AI/ML solutions and drive business insights.
Highest-signal resume keywords
Machine Learning Model DevelopmentData Preprocessing and AnalysisModel DeploymentTensorFlowScikit-Learn
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData AnalysisModel OptimizationAlgorithm DevelopmentML Pipeline Building
Soft Skills
Analytical SkillsProblem-Solving Skills
Industry Keywords
AI SolutionsBusiness InsightsCustomer Experience
Tech Stack
Tools & technologiesScikit-LearnSpringTensorflow
About the role
Key responsibilities & impact- Assist in designing, developing, and implementing machine learning models and algorithms
- Assist in developing and optimizing 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
- Build scalable ML pipelines
- Deploy models into production environments
- Stay updated with the latest advancements in machine learning
- Enhance services through AI/ML solutions, drive business insights, and improve customer experiences
Requirements
What you’ll need- 1+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience
- Must have graduated within the past 12 months, or will be graduating by Spring 2027
- Bachelor’s or Master’s degree in Computer Science or related field from an accredited college or university
- Familiarity with ML frameworks such as TensorFlow or scikit-learn
- Strong analytical and problem-solving skills
- Visa sponsorship through PayPal is not available now or in the future
Benefits
Comp & perks- Balanced hybrid work model: 3 days in the office and 2 days at either the PayPal office or home workspace
- Generous paid time off
- Healthcare coverage for you and your family
- Resources supporting financial security
- Mental health support
- Annual performance bonus may apply
- Equity or other incentive compensation may apply
- Reasonable accommodations for qualified individuals with disabilities