Machine Learning Engineer — Trust and Safety (Account Trust)
Description For Machine Learning Engineer — Trust and Safety (Account Trust)
The Trust and Safety group at Apple is seeking a talented Machine Learning Engineer to join their team focused on ensuring genuine and safe experiences for Apple's service users. This role is crucial in protecting various systems, including Apple's account creation flows and iMessage spam. As a Machine Learning Engineer, you'll work with massive datasets to derive actionable insights that enhance customer safety while combating external threats.
The position requires a unique blend of technical expertise in machine learning and software engineering, combined with investigative skills to analyze complex fraud patterns. You'll collaborate with Data Science, Software Engineering, and Machine Learning Research teams to develop and implement sophisticated fraud prevention solutions.
The ideal candidate should have strong experience with big data tools and machine learning algorithms, particularly in fraud detection and security contexts. You'll need excellent analytical abilities to work with incomplete data environments and the communication skills to explain complex technical concepts to various stakeholders.
This role offers an opportunity to directly impact the security of Apple's ecosystem while working with cutting-edge technology and talented professionals. You'll be part of a team that continuously evolves to stay ahead of potential threats, making this an exciting position for someone passionate about using machine learning to solve real-world security challenges.
The position comes with the prestige of working at Apple, one of the world's leading technology companies, and the satisfaction of protecting millions of users worldwide. If you're someone who combines technical expertise with curiosity and integrity, and you're passionate about enhancing user safety through innovative solutions, this role presents an excellent opportunity for career growth and impact.
Responsibilities For Machine Learning Engineer — Trust and Safety (Account Trust)
- Maintain a deep understanding of Apple's account types, services, and evolving protection systems
- Simplify complex systems and communicate technical concepts to non-technical audiences
- Analyze user behavior from diverse data sources, building narratives that explain fraudulent activity and attack methods
- Build strong partnerships to close data gaps and mitigate attack vectors
- Identify weaknesses, propose better fraud-fighting tools, and anticipate attacker adaptations
- Work with partner teams to develop strategic, long-term fraud prevention solutions
Requirements For Machine Learning Engineer — Trust and Safety (Account Trust)
- Proven experience in anti-fraud with at least two complex investigations in incomplete data environments
- 3+ years of experience with big data tools (SQL, Spark, Splunk, Python, Jupyter Notebook)
- Familiarity with machine learning algorithms including classifiers, clustering algorithms, and anomaly detection
- Experience collaborating across engineering and non-engineering teams
