ML Data Program Manager, MLO
Apple - Cupertino, United States of America
Posted Apr 2, 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
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- Relocation assistance
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- 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
ML Data Program Manager, MLO Cupertino, United States of America Would you like to contribute to generative AI and transform how people interact with AI technologies? Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the Machine Learning Operations Data Team, part of Intelligent System Experience (ISE) group within the software engineering organization at Apple. We are responsible for building high-quality ML datasets at scale, used to train ML models that power AI-centric features for many Apple products (iPhone, iPad, Mac, Apple Watch, and even AirPods). Such features as Apple Intelligence, face recognition of your loved ones in your Photos app, and input experiences (e.g., autocorrect, next-word prediction, handwriting recognition) are all features our team has supported. We are looking for a talented individual to drive Data Programs supporting ML features, in close collaboration with our R&D partners, and to run the corresponding data projects end-to-end (collection & annotation). We invite you to join us at this exciting time! Grow fast and positively impact multiple critical features on your first day at Apple! Our MLO Data team focuses on data acquisition, data synthesis, data science, annotation, and data QA. Each year, we power dozens of features and work closely with ML teams across the Software Organization. Apple's commitment to deliver incredible experiences to a global and diverse set of users in full respect of their privacy leads our team to explore innovative ways of collecting and annotating data. This role is
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