Machine Learning Engineer — Trust and Safety (Account Trust)

Key Skills

Data science techniques, Git, Java Programming, Machine learning techniques, Python Programming, PyTorch, Scala Programming, Scikit-learn, SQL, TensorFlow

Job Description

We Are Hiring: Fraud Prevention Engineer

Join our team and help protect millions of Apple users by combating fraud with cutting-edge data science, machine learning, and engineering solutions.

Success in This Role Means:

• Developing deep expertise in Apple’s account types, services, and evolving fraud protection systems.
• Simplifying complex technical concepts for non-technical audiences.
• Analyzing user behavior across diverse data sources to identify fraudulent activity and attack methods.
• Building strong partnerships to close data gaps and mitigate emerging threats.
• Identifying vulnerabilities, proposing improved fraud-fighting tools, and anticipating attacker adaptations.

This role requires close collaboration with Data Science, Software Engineering, and Machine Learning Research teams.You’ll work on strategic, long-term fraud prevention solutions while continuously expanding your expertise in software engineering and machine learning.

Minimum Qualifications:

• Proven experience in fraud prevention or a related field, with at least two complex investigations in incomplete data environments, demonstrating initiative and measurable impact.
• 3+ years of experience working with big data tools (SQL, Spark, Splunk, Python, Jupyter Notebook).
• Familiarity with machine learning algorithms (e.g., classifiers, clustering, anomaly detection).
• Strong ability to collaborate across engineering and non-engineering teams.

Preferred Qualifications:

• Proficiency in Python, Scala, Java, or similar, along with relevant libraries (scikit-learn, TensorFlow, PyTorch, Spark MLlib).
• 2+ years of industry software development experience, including version control (e.g., Git).
• Hands-on experience implementing machine learning solutions (classifiers, clustering, anomaly detection).
• Advanced degree (MS/PhD) in a quantitative field (Computer Science, Statistics, Mathematics, Operations Research).
• Strong interpersonal, written, and verbal communication skills.
• A mindset driven by curiosity, integrity, and a passion for enhancing the Apple customer experience.

Are you ready to take on the challenge and make a global impact? Apply now!