Machine Learning Engineer - iCloud Anti-Abuse

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified last checked Jun 13, 2026

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Machine Learning Engineer - iCloud Anti-Abuse San Diego, United States of America Apple's iCloud Anti-Abuse team protects hundreds of millions of users from spam, phishing, and malicious content across Mail, Calendar, and Contacts. We are looking for an ML engineer who can build and ship models in production distributed systems. You will design, train, and deploy ML models that operate at iCloud scale, working across the full lifecycle from data pipelines to real-time inference. You will partner with backend engineers and cross-functional teams in trust and safety, operations, and product to deliver measurable improvements in user protection. This role sits at the intersection of machine learning and distributed systems engineering. You will play a foundational role in building the team's ML capabilities - owning ML-driven abuse detection: building features from high-volume data streams, training and evaluating classification and ranking models, deploying them into low-latency serving infrastructure, and closing the feedback loop. The systems you build will run at massive scale across Apple's infrastructure. Success in this role means writing production-quality code, reasoning about distributed system tradeoffs, and iterating quickly on model performance. This is a high-impact role - your work will directly determine whether abuse reaches iCloud users or gets stopped. Own the end-to-end ML lifecycle for abuse detection across Mail, Calendar, and Contacts: data pipelines, feature engineering, model training, deployment, and monitoring Build and maintain ML infrastructure that operates reliably at iCloud scale with low-latency, high-availability requirements Develop techniques to identify and score abusive actors and patterns at scale

Read the full description at jobs.apple.com. FewerJobs shows a source-linked preview and links to the original posting.