Senior Computer Vision Machine Learning Engineer, Apple Wallet

Apple Inc

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Work type
On-site
Location
Austin, TX
Posted
36 days ago

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How this pay compares to similar roles

Similar $223k
$167k most similar roles pay here $283k

This listing doesn't post a salary. Most similar roles pay $196,750–$249,750.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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TL;DR · Senior Computer Vision Machine Learning Engineer, Apple Wallet

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As a Senior Computer Vision Machine Learning Engineer on Apple’s Wallet team, you will leverage cutting-edge technology to enhance user privacy and security by developing advanced facial recognition and adversarial object detection systems. Your daily tasks include applying industry best practices to strengthen the team's capabilities, collaborating on complex computer vision projects, and mentoring early-career engineers. You will also contribute to roadmap planning, ensuring alignment with Apple’s core principles of privacy and security while delivering innovative solutions in a high-visibility environment. The role requires expertise in Python, proficiency in PyTorch or similar libraries, and experience in real-time decisioning systems, making it ideal for those passionate about machine learning applications in security and fraud prevention.

Skills

Python PyTorch TorchVision Computer_Vision Machine_Learning Face_Recognition Biometric_Security Fraud_Detection Real-Time_Systems Security_Engineering

What you'll do

  • Lead the development of advanced facial recognition and spoofing detection technologies.
  • Enhance existing models through innovative approaches to improve fraud protection.
  • Mentor junior engineers on best practices in computer vision and machine learning.
  • Translate complex technical concepts into actionable insights for cross-functional teams.
  • Contribute to strategic planning by integrating industry best practices and novel architectures.
  • Ensure alignment with Apple’s core principles of privacy, security, and user experience.

What we're looking for

  • Strong foundation in computer vision techniques and machine learning with 5+ years of relevant experience.
  • Proven mentorship skills resulting in positive outcomes for early-career engineers.
  • Expertise in Python programming along with proficiency in another language.
  • Experience in face recognition, facial expression/spoofing detection, and fraud/security systems.
  • Clear technical communication abilities across diverse audiences.

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