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Apple
Posted 53 days agoVerified live 2d ago

Software Engineer, AML, Ai & Data Platforms (AiDP)

Brief overview

Sunnyvale, California, USIn-person
6,752 H-1B approvalsDept. of Labor
3,817 green cardsCertified filings
Distributed systemsMachine learningGenerative AIData platformsApplication developmentFraud detectionCase managementScalable system design

About the company

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

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
6,752H-1B approved
98%approval rate
2,551new H-1B hires
3,817PERM certified
$178,006median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20231,940
20241,811
20252,018
2026983
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
2023884
20241,000
20251,480
20261,175
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20231,199
20241,386
20251,224
20268
Top sponsored roles
Software Engineering ApplicationsSoftware Development EngineeringSoftware Development EngineerSoftware Engineering SystemsSoftware Development Engineer - Applications
Sponsored employees from
IndiaChinaCanadaTaiwanUnited Kingdom

Job description

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

As part of the ACM Platform team, you will design, develop, and operate high-throughput, low-latency distributed services that support more than 1,500 internal users across Apple. You will work closely with engineering, product, fraud analysts, and business partners to build scalable platform capabilities that improve fraud detection and case management.

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