Machine Learning Engineer — Trust and Safety (Account Trust)

The Trust and Safety group at Apple is responsible for ensuring that users of Apple's services and products have genuine and safe experiences. This role focuses on protecting Apple's account creation flows and iMessage spam prevention systems. As a Machine Learning Engineer, you'll work on turning vast amounts of data into actionable insights to improve customer safety while combating external threats.

You'll be part of a team that ensures the protection of Apple's ecosystem through sophisticated machine learning solutions. The role requires exceptional analytical skills to investigate complex systems and derive novel insights that directly impact success metrics. You'll collaborate across multiple teams including Data Science, Software Engineering, and Machine Learning Research to develop and implement strategic fraud prevention solutions.

Key aspects of the role include maintaining deep knowledge of Apple's systems, analyzing user behavior patterns, building cross-functional partnerships, and continuously enhancing fraud detection capabilities. You'll need strong technical skills in machine learning and big data tools, combined with the ability to communicate complex concepts to non-technical audiences.

The ideal candidate brings proven experience in anti-fraud or similar fields, strong programming skills in languages like Python or Java, and hands-on experience with machine learning algorithms. You should be passionate about protecting users while maintaining an excellent customer experience, with the curiosity and integrity needed to tackle evolving security challenges.

This position offers the opportunity to work on high-impact projects that protect millions of users while advancing your expertise in machine learning and software engineering. You'll be joining Apple's world-class team in Austin, contributing to critical trust and safety initiatives that help maintain the integrity of Apple's services.