Senior Computer Vision Machine Learning Engineer, Apple Wallet

You will work on cutting edge computer vision technology in the field of facial recognition and adversarial object detection. You'll contribute to computer vision initiatives that directly protect users from fraud and identity theft, combining applied research with production deployment. This role offers the unique opportunity to see your work from methodology through implementation, with the autonomy to make meaningful technical decisions in a supportive, high-visibility environment. Minimum Qualifications 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 Preferred Qualifications 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.