📍 Local Job Near You
Senior Computer Vision Machine Learning Engineer, Apple Wallet
Apple
📍
New York City, United States
Location
New York City
Posted
June 05, 2026
Commute
Local Area
Local Opportunity Near You!
This job is in your area. Enjoy a short commute and work close to home.
Job Description
**Weekly Hours:** 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...
**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...