Machine Learning Video Process Engineer
Apple - Cupertino, United States of America
Posted Feb 10, 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
- Not verified
- 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
Machine Learning Video Process Engineer Cupertino, 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 potentially change the world! The Video Engineering team at Apple is responsible for creating the image and video core technologies used in almost all Apple products and services. We are looking for a highly self-motivated individual to fill in the position of Machine Learning Video Processing Engineer. We are looking for a Machine Learning Video Processing Engineer who will join us to build Apple's next-generation video processing algorithms. In this role, you will identify and develop machine leaning solutions and work closely within a dynamic team to optimize and productize those features. Your responsibilities include, but not limited to: Develop and maintain data collection, processing, and curation pipelines to support model training, validation, and testing. Design and implement deep learning algorithms for low-level vision tasks. Optimize models and algorithms for performance, including latency, memory, and computational efficiency. Integrate solutions into end-to-end video processing pipelines. Minimum Qualifications: Minimum requirement of a bachelors degree Masters degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields Knowledge of the principles, algorithms, and techniques used in machine learning and video processing with first-hand experiences. Programming skills and hands-on experience with Python and deep learning frameworks such as PyTorch Preferred Qualifications: PhD or Masters degree in Machine
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