Software / ML Engineer Products -iCloud
You will join a fast-paced and high growth team within the Apple Cloud organization with the opportunity to have a direct impact on the company results. At Apple, we believe that breakthrough products emerge when engineering quality meets visionary thinking.
We're seeking a Machine Learning Engineer to join the anti-spam solutions for iCloud Mail, Calendar, and Contacts-someone who will be responsible for ensuring millions of iCloud customers have an extraordinary experience by preventing spam from entering users' mailboxes and calendars.
You will write software and implement end to end anti-abuse solutions and integrate them into Mail, Calendar and Contacts systems, and improve the overall end-to-end user experience.
You will also be collaborating with various teams like Apple Trust and Safety, Anti-abuse Operations team, and other key stakeholders to ensure flawless experiences for iCloud customers.
Description
By joining the iCloud Anti-Abuse team, you will 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 communication skills to drive innovation in user protection.
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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
","responsibilities":"Build and improve systems for spam, phishing and abuse prevention using advanced AI/ML techniques
Improve overall security, system reliability, availability and performance of anti-abuse services
Come up with a high level architecture for services and data handling at a large scale
Partner with Apple Trust and Safety, Anti-abuse Operations, and other key stakeholders to deliver comprehensive protection solutions
Integrate anti-abuse solutions into Mail, Calendar, Contacts pipelines and ensure optimal performance and user experience
Drive advancement in techniques for abuse detection and prevention
We are seeking a strong technical hands-on engineer, who applies technical perfection towards the end goal of driving real business impact. You should feel a personal stake in the services we are responsible, have excellent interpersonal skills and the ability to build positive relationships with the people you work with.
Our work is complex, bold and highly visible. The opportunities for you to make an impact here are boundless.
Preferred Qualifications
5-7 years of Java coding experience
5+ years of hands-on software engineering experience with building systems at scale
Understanding of various abuse vectors and techniques to overcome them
Proven expertise in machine learning and various classification model techniques, reputation systems, and applying these techniques toward preventing abuse, fraud or product integrity
Proven expertise in end-to-end machine learning lifecycle including data collection, processing, training, model building, inference, and feedback loops
Understanding of protocols like IMAP, SMTP, CalDAV, and CardDAV
Experience in email security, content filtering, or related security domains
Understanding of privacy-preserving machine learning techniques and data handling best practices
Minimum Qualifications
3-5 years of Java coding experience
3+ years of hands-on software engineering experience with building systems at scale
Experience with large-scale distributed systems and high-availability services
Strong understanding of software engineering principles and best practices
Demonstrated ability to work in fast-paced, multifaceted environments
Experience collaborating with cross-functional teams and stakeholders
BS/MS/PhD in Computer Science, Machine Learning, or related technical field
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 .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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