This role pays more than
90%
of similar roles. Most pay
$208,181–$254,750
— the shaded band above.
At the midpoint, this role pays about
$270k
versus about
$231k
for comparable roles.
Based on 240 similar postings.
Employer
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
2000 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1613 roles with salary data.
As a Senior Machine Learning Engineer, Apple Wallet, you will join a dynamic team focused on protecting users from fraud and identity theft through advanced computer vision technology. You will work on cutting-edge initiatives involving facial recognition, facial expression detection, and adversarial object detection to secure user identities. Your daily responsibilities include contributing to roadmap commitments, identifying innovative model improvements, mentoring early-career engineers, and collaborating with cross-functional stakeholders to translate complex technical concepts into actionable plans. The role requires expertise in computer vision techniques, machine learning, and programming in Python plus at least one other language. Preferred skills include experience with PyTorch or TorchVision, real-time decisioning systems, edge ML deployment, and biometric security applications. You will navigate the intersection of applied research and production systems to solve critical problems regarding fraud detection and user privacy.
What does a Machine Learning Engineer earn in California?
Median $246150 from 178 postings across 30 companies.
Develop and implement advanced computer vision models for facial recognition and spoofing detection.
Build systems to detect adversarial objects and protect users from fraud and identity theft.
Translate complex technical concepts into clear information for cross-functional stakeholders.
Execute roadmap commitments by identifying innovative approaches for model improvement.
Mentor early-career engineers to support their professional growth and project success.
Integrate industry best practices and novel architectural approaches into production systems.
Ensure all machine learning solutions adhere to strict privacy and security standards.
What we're looking for
Strong foundation in computer vision techniques and machine learning.
5+ years of relevant experience in Computer Vision 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.
Expertise in PyTorch, TorchVision, or similar vision-specific libraries and toolkits (preferred).
Background in security/security engineering, fraud detection, or edge ML deployment (preferred).
Experience with real-time decisioning systems, face recognition, or biometric security applications (preferred); M.S. or PhD in a related field (preferred).
Machine Learning
NLP
Information Retrieval
Deep Learning
Reinforcement Learning
Statistics
Forecasting
Optimization
Scalable Architecture
Agile
Production Code
Data Science