At Apple, we believe that breakthrough products emerge when engineering quality meets visionary thinking. We're seeking a Machine Learning Engineering Manager to own the anti-spam solutions for iCloud Mail, Calendar, and Contacts—someone who will be an influential force in ensuring millions of iCloud customers have a great experience by preventing spam from entering users' mailboxes and calendars.
You will manage a team of engineers and be responsible for all overall anti-abuse solutions, integration into Mail, Calendar and Contacts systems, and the end-to-end user experience of reporting spam.
You will also be collaborating with various teams like Apple Trust and Safety, Anti-abuse Operations team, and other key stakeholders to ensure seamless experiences for iCloud customers.
Description
As the Engineering Manager for iCloud Anti-Abuse, you will lead a critical team responsible for protecting millions of iCloud users from spam, phishing, and other malicious content across Mail, Calendar, and Contacts. This role combines deep technical expertise in machine learning and anti-abuse systems with strong leadership skills to drive innovation in user protection. This role offers the opportunity to make a significant impact on user safety and experience while working with cutting-edge technology at one of the world's most innovative companies
Minimum Qualifications
Manage and mentor a team of talented engineers specializing in anti-abuse technologies and machine learning systems
Define and execute the technical roadmap for anti-abuse solutions across iCloud Mail, Calendar and Contacts
Partner with Apple Trust and Safety, Anti-abuse Operations, and other key stakeholders to deliver comprehensive protection solutions
Oversee the integration of anti-abuse solutions into Mail, Calendar, Contacts pipelines and ensure optimal performance and user experience
Lead response to daily customer complaints and executive escalations while maintaining strategic long-term focus
Drive advancement in machine learning techniques for abuse detection and prevention
Ensure that anti-abuse measures maintain the seamless, intuitive experience Apple customers expect
Preferred Qualifications
Comprehensive understanding of various abuse vectors and techniques to overcome them
Demonstrated expertise in machine learning and various classification model techniques, reputation systems, and applying these techniques toward preventing abuse
Proven expertise in end-to-end machine learning lifecycle including data collection, processing, training, model building, inference, and feedback loops
Highly collaborative with excellent communication skills and the ability to work with various key stakeholders, present to executives, and lead partner teams toward common goals
Ability to balance and prioritize strategic long-term investments in anti-abuse while effectively handling daily customer complaints and executive escalations
Strong understanding of protocols like IMAP, SMTP, CalDAV, and CardDAV
Experience in email security, content filtering, or related security domains
Experience working with systems serving millions of users
Understanding of privacy-preserving machine learning techniques and data handling best practices
Eeo Content
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
