Senior Computer Vision Machine Learning Engineer, Apple Wallet

Apple • Austin, TX

18h

About The Position

Join a dynamic AI and Machine Learning team focused on protecting millions of users from fraud and securing their identity every day. We operate at the intersection of cutting-edge research and production systems, collaborating across Apple—from other ML teams to Operations to Engineering—with strong leadership support and investment in our mission-critical work. We value continuous learning, intellectual curiosity, and commitment to excellence while maintaining focus on user privacy and security.

Requirements

• 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

Nice To Haves

• PyTorch, TorchVision or similar expertise in vision-specific libraries and toolkits
• Background in security/security engineering, fraud detection, or edge ML deployment
• Real-time decisioning systems
• Face recognition or biometric security applications
• M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience.

Responsibilities

• Work on cutting edge computer vision technology in the field of facial recognition and adversarial object detection.
• Contribute to computer vision initiatives that directly protect users from fraud and identity theft, combining applied research with production deployment.
• See your work from methodology through implementation, with the autonomy to make meaningful technical decisions in a supportive, high-visibility environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees