Sr. Software Engineer Products - iCloud Anti Spam

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. \\n\\nWe're seeking a Soft Ware 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. We are looking for someone with an interest in ML Engineering.\\n\\nYou 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.\\n\\nYou 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.\\n

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. \n\nThis 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\n

3-5 years of Java coding experience\n\n3+ years of hands-on software engineering experience with building systems at scale\n\nExperience with large-scale distributed systems and high-availability services\n\nStrong understanding of software engineering principles and best practices\n\nDemonstrated ability to work in fast-paced, multifaceted environments\n\nExperience collaborating with cross-functional teams and stakeholders\n\n\n

5-7 years of Java coding experience\n\n5+ years of hands-on software engineering experience with building systems at scale\n\nUnderstanding of various abuse vectors and techniques to overcome them\n\nProven expertise in machine learning and various classification model techniques, reputation systems, and applying these techniques toward preventing abuse, fraud or product integrity\n\nProven expertise in end-to-end machine learning lifecycle including data collection, processing, training, model building, inference, and feedback loops\n\nUnderstanding of protocols like IMAP, SMTP, CalDAV, and CardDAV\n\nExperience in email security, content filtering, or related security domains\n\nUnderstanding of privacy-preserving machine learning techniques and data handling best practices\n\nBS/MS/PhD in Computer Science, Machine Learning, or related technical field\n\n\n