Software / ML Engineer Products - iCloud jobs in United States
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Apple · 14 hours ago

Software / ML Engineer Products - iCloud

Apple is a leading technology company known for its innovative products and services. They are seeking a Machine Learning Engineer to join the anti-spam solutions for iCloud Mail, Calendar, and Contacts, focusing on enhancing user experience by preventing spam and malicious content. This role involves building and improving systems for abuse prevention and collaborating with various teams to ensure comprehensive protection solutions for iCloud users.

AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
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Comp. & Benefits
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H1B Sponsor Likelynote

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

Qualification

JavaMachine LearningDistributed SystemsSoftware Engineering PrinciplesEmail SecurityInterpersonal SkillsCollaborationProblem Solving

Required

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

Preferred

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

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation

Company

Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

H1B Sponsorship

Apple has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)

Funding

Current Stage
Public Company
Total Funding
$5.67B
Key Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity

Leadership Team

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Tim Cook
CEO
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Craig Federighi
SVP, Software Engineering
Company data provided by crunchbase