Senior Computer Vision Machine Learning Engineer, Apple WalletApple • United States
Senior Computer Vision Machine Learning Engineer, Apple Wallet
Apple
- United States
- United States
À propos
40
Role Number:
200630530-2459
Summary
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.
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.
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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
Compétences linguistiques
- English
Avis aux utilisateurs
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