Senior Machine Learning Engineer, Apple Wallet

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 Applefrom other ML teams to Operations to Engineeringwith strong leadership support and investment in our mission-critical work. nnWe value continuous learning intellectual curiosity and commitment to excellence while maintaining focus on user privacy and security.n

You will work on cutting edge computer vision technology in the field of facial recognition and adversarial object detection. Youll contribute to computer vision initiatives that directly protect users from fraud and identity theft combining applied research with production deployment. nnThis 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.

Bring computer vision expertise and industry best practices to strengthen team capabilitiesnCollaborate on advanced computer vision projects particularly in face recognition and facial expression/spoofing detectionnDeliver on roadmap commitments while identifying innovative approaches for model improvementnMentor early-career engineers supporting their growth and project successnPartner with cross-functional stakeholders translating complex technical concepts and instilling trustnContribute to roadmap planning and execution bringing industry best practices and novel architectural approachesnPractice thoughtful prioritization and alignment in a high-opportunity environment while embracing Apples core principles around privacy security and the customer experience

Strong foundation in computer vision techniques and machine learningnProven mentorship experience with demonstrated positive outcomesnClear technical communication skills across a range of audiencesnStrong programming abilities in Python plus at least one additional languagen5 years of relevant experience in Computer Vision Machine Learning

PyTorch TorchVision or similar expertise in vision-specific libraries and toolkitsnBackground in security/security engineering fraud detection or edge ML deploymentnReal-time decisioning systemsnFace recognition or biometric security applicationsnM.S. or PhD in computer science machine learning or a related field or equivalent practical experience.n