Senior Machine Learning Engineer, Apple Wallet

Cupertino, CA, US • Posted 3 days ago • Updated 8 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Leadership
  • FOCUS
  • Privacy
  • Research
  • Mentorship
  • Technical Communication
  • Python
  • Computer Vision
  • PyTorch
  • Security Engineering
  • Fraud
  • Real-time
  • Computer Science
  • Machine Learning (ML)

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 1ad61c145171c5d286ee5c00baf7775
  • Posted 3 days ago
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