Join a dynamic AI and Machine Learning team focused on protecting millions of users from fraud and securing their identity. The team operates at the intersection of cutting-edge research and production systems, collaborating across various departments within Apple. This role involves working on advanced computer vision technology, particularly in facial recognition and adversarial object detection. You will have the opportunity to contribute to initiatives that protect users while enjoying a supportive and high-visibility environment.

• Strong foundation in computer vision techniques and machine learning
• Proven mentorship experience with demonstrated positive outcomes
• Clear technical communication skills across a range of audiences
• Strong programming abilities in Python plus at least one additional language
• 5+ years of relevant experience in Computer Vision Machine Learning
• Expertise in PyTorch, TorchVision or similar vision-specific libraries and toolkits
• Background in security/security engineering, fraud detection, or edge ML deployment
• Experience with real-time decisioning systems
• Familiarity with face recognition or biometric security applications
• M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience

• Contribute to computer vision initiatives that protect users from fraud and identity theft
• Combine applied research with production deployment
• Make meaningful technical decisions in a supportive environment
• Work on cutting-edge technology in facial recognition and adversarial object detection

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.