Machine Learning Engineer
Job Summary
Job Description
The Machine Learning Engineer will be responsible for providing software security technologies to offer the best customer experience and help users protect their accounts. This role involves crafting, implementing, and operating analytical solutions for the Apple Pay Security team. The engineer will be involved in predictive modeling, statistical analysis, and building end-to-end solutions for improving security, fraud prevention, and operational efficiency. Collaboration with engineering teams across the company is essential. The role offers exciting challenges related to customer privacy, fraud, and business scale, pushing the limits of existing data science methods through applied research, creative ideas, and multi-functional collaboration.
1 skill required
Job Details
Are you motivated by providing software security technologies to offer the best customer experience and help users protect their accounts? 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 Pay Security team in transforming the smartphone into a device that secures the user's digital life without sacrificing privacy! 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 data science techniques. Here, we push the limits of existing data science methods by combining applied research with creative ideas and multi-functional collaboration.
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About The Company
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
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