Industrial Machine Learning Engineer
Apple - Cupertino, United States of America
Posted Dec 11, 2025
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
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Industrial Machine Learning Engineer Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it. Our team is responsible for the development of the inspection equipment that determines if a product meets Apple's high standards across all of the mechanical portion of hardware we make - iPhone, Mac, iPad, Watch and others. - Collaborate with mechanical and quality engineers to apply machine learning and computer vision to industrial problems and manufacturing situations - Develop and deploy ML models for inspection equipment responsible for judging millions of units per day in challenging production environments - Identify opportunities in production and development processes to apply machine learning tools for improvements - Develop toolkits to guide application of machine learning combined with statistical tools for engineers - Assemble and analyze large data sets through SQL-based querying or development of scripts and code-modules to collate distributed and disparate data sources - Apply pattern detection and anomaly identification techniques to measures of interest Proof-of-concept
Read the full description at jobs.apple.com. FewerJobs shows a source-linked preview and links to the original posting.
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