Multimodal Generative Modeling Engineer
Apple - Cupertino, United States of America
Posted May 14, 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
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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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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
Multimodal Generative Modeling Engineer Cupertino, United States of America Imagine what you could do here! At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you bring passion and dedication to your job? If so, we are looking for individuals like you. Join us in building new groundbreaking experiences in the era of generative AI. You will work on various projects aimed at pushing the boundaries of creativity and innovation within Apple's ecosystem. We are looking for machine learning engineers to work on generative AI models for image/video generation. We are looking for candidates that thrive in tightly collaborative team of self-motivated individuals. This position requires a highly motivated person who wants to help us advance in the development of generative models for image/video generation. As a multimodal generative modeling engineer in our team, you will be responsible for developing machine learning technologies, implementing and optimizing the solution, and shipping it in the products. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products. Advance the development of generative AI models specifically focused on image and video generation. Implement machine learning solutions and optimize them for performance and efficiency. Successfully deploy and ship these generative ML solutions into Apple products. Engage and collaborate with multiple teams across Apple to deliver high-quality, integrated products. Minimum Qualifications: Master Degree in CS, ECE, or related fields Preferred Qualifications: PhD Degree in CS, ECE, or
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