Senior ML Engineer, Wallet Security & Face Vision

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 216,000 - 325,000; Full time

Job summary

Apple Inc. in Cupertino, California, is seeking a Senior Machine Learning Engineer for Apple Wallet.

You will work on cutting edge computer vision—face recognition and adversarial object detection— to protect users from fraud and identity theft, combining research with production deployment in a high-visibility environment. You will mentor engineers, collaborate with cross-functional teams across Apple, and drive roadmap commitments while advancing privacy and security.

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

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

Skills

Mentorship

Python

Technical communication

Computer Vision

Machine Learning

Education

MS/PhD or equivalent

Tools

PyTorch

TorchVision

Job description

Apple Inc. in Cupertino, California, is seeking a Senior Machine Learning Engineer for Apple Wallet.

You will work on cutting edge computer vision—face recognition and adversarial object detection— to protect users from fraud and identity theft, combining research with production deployment in a high-visibility environment. You will mentor engineers, collaborate with cross-functional teams across Apple, and drive roadmap commitments while advancing privacy and security.