Machine Learning Engineer — Trust and Safety (Account Trust)

Apple's Trust and Safety group is seeking a talented Machine Learning Engineer to join their team focused on protecting user experiences across Apple's ecosystem. This role sits at the intersection of machine learning and security, specifically working on account trust and fraud prevention systems.

The position involves working with massive datasets to develop and implement machine learning solutions that protect Apple's services from fraudulent activities. You'll be responsible for analyzing complex user behavior patterns, building fraud detection models, and collaborating with cross-functional teams to implement effective security measures.

Key responsibilities include maintaining deep knowledge of Apple's account systems, analyzing user behavior patterns, developing ML models for fraud detection, and working closely with various teams to implement comprehensive security solutions. You'll use your expertise in machine learning algorithms, big data tools, and software engineering to build sophisticated fraud prevention systems.

The ideal candidate combines strong technical skills in machine learning and software development with a deep understanding of security principles and fraud prevention. You'll need to be able to work with incomplete data sets, conduct thorough investigations, and communicate complex technical concepts to diverse audiences.

This role offers the opportunity to directly impact the security of Apple's ecosystem while working with cutting-edge machine learning technologies. You'll be part of a team that's essential to maintaining trust in Apple's services, with the chance to work on challenging problems at massive scale.

Benefits include comprehensive medical and dental coverage, retirement benefits, stock programs, education reimbursement, and potential for bonuses and relocation assistance. The position offers significant growth potential and the opportunity to work on meaningful problems that affect millions of users.