Sr. Computer Vision and Machine Learning Engineer, Creator Studio
Apple - Cupertino, United States of America
Posted Mar 23, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- 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
- 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
Sr. Computer Vision and Machine Learning Engineer, Creator Studio Cupertino, United States of America At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight pros and enthusiasts alike. As a Senior Computer Vision & Machine Learning Engineer, you will work alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity! We are hiring a software engineer to work on a new initiative that will push the boundary of what's possible in the field of Generative AI. The ideal candidate will have deep knowledge in computational photography and multi-modal image editing. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization. Incubate state-of-the-art machine learning algorithms and demonstrate their applicability to Apple's products Take ownership of the full lifecycle of machine learning models, from large distributed training and validation to efficient inference at scale Design data pipelines in partnership with collection, curation and evaluation teams to ensure suitable model inputs Communicate the latest research developments in image generation to help drive the long-term product roadmap Partner with cross-functional teams to bring experimental models and proof-of-concept features to next-generation products. Minimum Qualifications: MS or PhD in Computer Science, Machine Learning or related field, and
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