Senior Computer Vision 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 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

Description

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.","responsibilities":"Bring computer vision expertise and industry best practices to strengthen team capabilities

Collaborate on advanced computer vision projects, particularly in face recognition and facial expression/spoofing detection

Deliver on roadmap commitments while identifying innovative approaches for model improvement

Mentor early-career engineers, supporting their growth and project success

Partner with cross-functional stakeholders, translating complex technical concepts and instilling trust

Contribute to roadmap planning and execution, bringing industry best practices and novel architectural approaches

Practice thoughtful prioritization and alignment in a high-opportunity environment while embracing Apple's core principles around privacy, security and the customer experience

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.

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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .