AI Engineering Manager - GenAI Platform , Infra & AIOps

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified last checked Jun 13, 2026

Salary

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401(k) match

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

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

155% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

AI Engineering Manager - GenAI Platform , Infra & AIOps Cupertino, United States of America Imagine what you could do here. At Apple, great ideas have a way of becoming outstanding products, services and customer experiences very quickly. We believe that if you bring passion and dedication to your job, there's no telling what you could accomplish! Every new product, service, or feature we invent is the result of people working together to make each other's ideas stronger. That happens here because every one of us strives toward a common goal - crafting the best customer experiences. We are looking for a highly skilled and experienced AI Engineering Manager to lead the planning and execution for our next generation AIML Platforms, Infrastructure and AIOps for Channel Sales at scale from 0-1n. In this role, you will be at the forefront of shaping the future of this transformative technology, drive the vision, roadmap, and execution of innovative AI solutions that leverage generative models to create captivating user experiences across our product lines. You will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers to develop breakthrough products that push the boundaries of AI and deliver real value to our internal and external users. Lead and mentor a global team of Machine Learning Engineers, providing guidance, support and professional development opportunities Foster a culture of collaboration, innovation and continuous learning within the team to break glass ceilings Build streamlined processes, onboard new tools, effective resource planning to enable

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