Machine Learning Engineer

Description:

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.

Job Description:
Additional Responsibilities And Preferred Qualifications
Duration: 10 weeks

Working 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