π Local Job Near You
Senior Machine Learning Engineer, Wallet, Payment & Commerce
Apple
π
Austin, United States
Location
Austin
Posted
June 06, 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:** 200667108-0157
**Summary**
Are you motivated by providing software security technologies to help users protect their accounts and provide the best customer experience? Are you a Machine Learning Engineer who enjoys crafting, implementing and operating analytical solutions?
If so, we invite you to come and join the Apple Wallet, Payment & Commerce team in transforming the smartphone into a device that secures the user's digital life without sacrificing privacy!
**Description**
Our team employs predictive modeling and statistical analysis techniques and builds end-to-end solutions for improving security, fraud prevention, and operational efficiency across Apple. Our team collaborates cross-functionally with engineering teams across the company. Apple's dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and ...
**Role Number:** 200667108-0157
**Summary**
Are you motivated by providing software security technologies to help users protect their accounts and provide the best customer experience? Are you a Machine Learning Engineer who enjoys crafting, implementing and operating analytical solutions?
If so, we invite you to come and join the Apple Wallet, Payment & Commerce team in transforming the smartphone into a device that secures the user's digital life without sacrificing privacy!
**Description**
Our team employs predictive modeling and statistical analysis techniques and builds end-to-end solutions for improving security, fraud prevention, and operational efficiency across Apple. Our team collaborates cross-functionally with engineering teams across the company. Apple's dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and ...