JobsMachine Learning Engineer Video Processing Engineer
Job description
The role of Machine Learning Video Processing Engineer at Apple involves developing next-generation video processing algorithms that will impact billions of users. The team focuses on creating core image and video technologies for Apple products and services. The engineer will work closely with a dynamic group of professionals to design and implement machine learning-based solutions. This position requires a strong technical background and a passion for innovation in video processing.
Requirements
- BS degree and a minimum of 3 years 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 with 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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