Job Description Summary
Apprenticeship Summary As a Machine Learning Engineer (MLE) Apprentice – Residency 3, you will operate with increased autonomy and ownership, contributing directly to production ML systems that power PayPal’s fraud and risk platforms. You will focus on optimizing models, pipelines, and system performance, balancing accuracy, latency, security, and explainability in real-world AI applications. This residency is designed for apprentices ready to take on end-to-end responsibility for well-scoped ML components and demonstrate readiness for future MLE or New Grad roles.
Duration: 10 weeksWorking Model: Full-time; 3 days per week in the Dublin office
Day to Day
Own and deliver defined components of production ML systems end to end
Optimize ML models and data pipelines for performance, scalability, and reliability
Partner with platform and infrastructure teams on deployment and production readiness
Evaluate trade-offs between model complexity, explainability, and latency
Implement monitoring, testing, and validation for ML solutions
Apply security, privacy, and ethical AI principles in system design
Present outcomes, insights, and recommendations to engineering and leadership audiences
What You Need To Bring
Currently enrolled in a Computer Science, Engineering, Data Science, AI, or related degree (2nd year)
Strong foundation in machine learning and software engineering
Experience building or optimizing ML models and pipelines
Proficiency in Python and SQL; exposure to distributed or real-time systems is a plus
Understanding of system design, APIs, and production engineering concepts
Ability to work independently on complex technical problems
Strong communication skills and an ownership-driven mindset
Passion for AI, Fraud and Innovation
Equal Employment Opportunity
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
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