JobsVideo Machine Learning Engineer, Audio & Media Technologies
Video Machine Learning Engineer, Audio & Media Technologies
AppleVideo Machine Learning Engineer, Audio & Media Technologies
AppleLocation
San Diego, CA
Type
Full-time
Posted
5/8/2026
Compensation
Not listed
Master's with 2+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
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·FY 2025Job description
The role involves joining a team focused on developing cutting-edge machine learning technologies for video coding and processing at Apple. As a video machine learning engineer, you will work with specialists to enhance user experiences through innovative solutions. The team is dedicated to creating intelligent and interactive video experiences across various Apple products. Your contributions will significantly impact customer experiences and the future of video technology.
Requirements
- Master's degree in Electrical Engineering or Computer Science or 3 years of equivalent work experience
- Experience in digital video processing
- Modern video codec knowledge
- Deep knowledge and experience in designing and optimizing neural networks
- Strong programming, problem solving, and performance optimization skills
- Experience in utilizing AI in programming
Responsibilities
- Develop ML/DL solutions to enhance or bring new user experiences
- Be involved in developing new or improving existing algorithms
- Design neural network architectures
- Train, optimize, and integrate networks
- Coordinate with various teams to ship new technology in Apple products
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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