JobsMachine Learning Video Processing Engineer
Job description
The Machine Learning Video Processing Engineer at Apple will contribute to the development of next-generation video processing algorithms. This role involves collaboration with a dynamic team to design and implement machine learning-based image and video processing technologies. The engineer will work on core image and video technologies that impact millions of users daily. The position requires a motivated individual who thrives in technically challenging environments and is eager to innovate.
Requirements
- BS degree and a minimum of 3 years of relevant industry experience
- Hands-on experience in image/video processing, machine learning, and computer vision
- Programming skills in Python, Java, or C/C++
- PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields
- Project experience on low-level computer vision algorithms such as spatial/temporal filtering, image enhancement, or video analysis
- Publication record in top-tier conferences such as CVPR, ICCV, ICIP, SIGGRAPH
- Excellent written and oral communication skills
Responsibilities
- Develop, implement, and optimize machine learning-based video processing algorithms
- Contribute to data collection, curation, analysis, and processing for algorithm training and evaluation
- Research and evaluate state-of-the-art learning-based methods for low-level vision tasks
Benefits
- Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.
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