Machine Learning Engineer, Camera & Photos
Apple - Cupertino, United States of America
Posted Sep 29, 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
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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
Machine Learning Engineer, Camera & Photos Cupertino, United States of America Do you have a passion for building the best photos app experience in the world? iPhone is the most popular camera in the world! Seamless integration of software and hardware has delivered magnificent experiences like Photos Memories and Portrait Mode. The Photos Intelligence team in Camera & Photos develops privacy-respecting, Artificial Intelligence (AI) and Machine Learning (ML) technologies to ship Photos features and emotional experiences to hundreds of millions of users worldwide. We are looking for a Machine Learning Engineer to join our team and be a part of this mission. In this role, you will be working on applications of generative AI models and algorithms for Apple Intelligence features. Candidates should have a proven track record that demonstrates a deep understanding of AI and ML algorithms, a passion for designing and developing high-quality software, strong collaboration, and excellent interpersonal skills. Minimum Qualifications: Solid foundation in machine learning and deep learning principles Hands on experience with large language models (LLMs), prompt optimization, and fine tuning of LLMs Strong programming and software engineering experience in one or more of the following languages: Python, C, C++, Swift Bachelor's or Master's in Computer Science, Electrical Engineering, Applied Mathematics, or a related field Preferred Qualifications: Experience optimizing Machine Learning and Deep Learning algorithms for embedded systems Experience with large vision-language and multi-modal foundation models
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