Machine Learning Video Processing Algorithm Engineer
Apple - Sunnyvale, 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
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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
Machine Learning Video Processing Algorithm Engineer Sunnyvale, United States of America Imagine the impact you can make. A billion users will use the technologies you helped craft almost daily. At Apple, you will have the opportunity to work on products that are always leaders in the industry and occasionally change the world! Our group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. We are looking for a highly self-motivated and enthusiastic engineer who is able to excel in a technically challenging environment to fill in the position of machine learning video processing engineer. In this role you will work with Apple engineers in a dynamic team developing machine learning based image/video processing technologies for current and future Apple products. This position requires a highly self-directed engineer with strong creative and analytic skills and passion for video processing and compression technologies. Develop and optimize machine learning based video processing algorithms that work well in the resource-constrained environments. Work on pre & post-processing for training/testing/validation, model quantization and distillation. Investigate the latest learning-based low-level vision technologies and tasks. Minimum Qualifications: BS and a minimum of 5 years relevant industry experience Solid background in Machine Learning and Signal/Image/Video Processing. Excellent programming skills in Python or C/C++ Preferred Qualifications: Ph.D Degree in Computer Science, Electrical Engineering or related major Publication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc) Experience of deploying neural network to hardware. Experience with GPGPU APIs, preferably Metal,
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