Software / ML Engineer Products - iCloud
Apple
Software Engineering, Data Science
San Diego, CA, USA
USD 139,500-258,100 / year + Equity
Posted on Nov 20, 2025
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.
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. 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
- 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.
- 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
- 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
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.