EPM, Applied Machine Learning, AI & Data Platforms (AiDP)
Apple - Sunnyvale, United States of America
Posted May 7, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- 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.
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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
EPM, Applied Machine Learning, AI & Data Platforms (AiDP) Sunnyvale, United States of America Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business. We use the latest in open source technology and, as committers on some of these projects, we are pushing the envelope. Working with multiple lines of business, we manage many streams of Apple-scale data. We bring it all together and extract the value. We do all this with an exceptional group of software engineers, data scientists, dev-ops engineers and managers. Join Apple's AML Team as Engineering Program Manager. This role requires a combination of product and project management, strong engineering background, and the ability to build collaborative relationships across various teams in Apple. We are looking for someone who loves digging into details, driving operational efficiencies under demanding timeframes and driving large, complex projects. You will partner with Wallet Payment and Commerce, Apple Services, and Data Science teams to manage programs focused on preventing fraud. You would be working with various engineering teams to enhance the AML platform and develop new integrations. You would be expected to lead the team in delivering solutions that meets Apple's business goals while
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