Machine Learning Video Processing Engineer
Apple Cupertino, CA Full-time 3/17/2026 $147,400 - $272,100 a year
Undergraduate with 5+ Years of ExperienceMaster's with 2+ Years of ExperiencePhD Entry-Level
Approval 98.9%•Total filings 5,543•New hires 2,691•
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•FY 2025Job Description
Apple is seeking a highly self-motivated machine learning video processing engineer to develop and optimize video processing algorithms for resource-constrained environments. The role involves collaboration with a dynamic team to create innovative image and video technologies for Apple products.
Requirements
- PhD in Computer Science, Electrical Engineering, or related major.
- Experience with performance (power and speed) optimization: GPGPU SIMD programming.
- Knowledge of deploying neural network to hardware.
- Experience with multithread NEON / SIMD.
- Experience with GPU APIs preferably Metal, CUDA, OpenGL, and/or OpenCL.
- Excellent written and oral communication skills.
- BS and a minimum of 3 years relevant industry experience.
- Familiar with Signal Processing, Machine Learning, CPU architecture, and Operating System.
- Python, Java, or C/C++ programming skills.
Responsibilities
- Develop, implement, and optimize machine learning based video processing algorithms that work well in the resource-constrained environments.
- Work on data collection and pre-processing for training/testing/validation.
- Investigate the latest learning-based low-level vision technologies and 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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