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Overview
Mid-Level

Machine Learning Engineer - Graduate Program - 23 months

Confirmed live in the last 24 hours

Apple

Apple

Cork
On-site
Posted April 1, 2026

Job Description

Summary

Are you a recent graduate ready to make your mark in a dynamic, forward-thinking environment? If you're eager to transform your academic knowledge into real-world impact and have a passion for data-driven problem solving, we want to hear from you. Apple's Strategic Data Solutions team plays a critical role in protecting the company from fraud, waste, and abuse, while continuously improving experiences for both our customers and internal partners. We are looking for talented graduates to join our 23-month rotational program, where you'll tackle meaningful challenges in either fraud mitigation or decision automation for fulfillment operations. Throughout the program, you'll gain hands-on exposure to: Software Development Systems Integration Machine Learning Automation Your journey begins at Apple's European Operations Headquarters in Cork, Ireland, where you'll collaborate with industry-leading experts. Through a blend of on-the-job experience, mentorship, and structured training, you'll develop deep expertise in cutting-edge supply chain technologies. If you are a strong analytical thinker who thrives in collaborative settings and loves solving complex problems, this could be the opportunity that defines your career. Apply today — we'd love to meet you.

Description

This is an in-person position located in Cork, Ireland with a start date in late summer, working on a small team within the larger SDS organization. The work you will do as part of this program will help you: Gain familiarity with complex decisioning systems Work with cross-functional business partner teams Monitor and maintain production decision points Obtain experience updating decision automation systems Design, develop, and deploy technical solutions to current business problems

Minimum Qualifications

BSc (Hons), M.Sc, or equivalent in Computer Science, Data Science, Mathematics, Engineering, BIS, or a related field A minimum of a 2.1 (Hons) degree or equivalent is required Strong programming skills in Python, Scala, Java, or similar language Working knowledge of databases Solid grasp of data analysis Understanding of machine learning algorithms Experience with version control systems Ability to comprehend and debug software systems Excellent communication skills, with the ability to convey technical concepts to non-technical audiences

Preferred Qualifications

Internship or project experience in software engineering, data science, or related field Familiarity with machine learning or optimization frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn) Proficiency in SQL and working with large-scale databases Familiarity with data processing pipelines Knowledge of supply chain management concepts or operations research Strong problem-solving and critical thinking skills Self-motivated, proactive, and solution-oriented mindset Eagerness to learn and apply new technologies Creativity and curiosity to explore new ideas in pursuit of tangible benefits to Apple

machine learning