Sr. Software Engineer Products - iCloud Anti Spam

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 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 BS/MS/PhD in Computer Science, Machine Learning, or related technical field

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