This role involves working as an engineer on a team focused on developing the next generation of video technology at Apple. The position emphasizes research in machine learning algorithms, particularly in areas like computer vision and video generation. The ideal candidate will tackle technically challenging problems and contribute to redefining the video experience for millions of users. Collaboration with colleagues to create ML-based video solutions for current and future products is a key aspect of this role.

• BS degree and a minimum of 3 years of relevant industry experience
• 3+ years of hands-on experience in ML research, including Ph.D. work
• Proven track record of success in deep learning with publications in top ML/CV venues
• Familiarity with the latest ML and CV innovations, including GenAI modeling techniques
• Proficiency in Python and software skills in common ML tools such as PyTorch or TensorFlow
• Knowledge of ML principles, model prototyping, architecture design, and training procedures
• Ph.D. or Master's degree specializing in ML
• Experience implementing custom ops in CUDA
• Experience in designing practical ML implementations in industry
• Experience with generative modeling, optical flow, and ML for video or data compression
• Excellent written and oral communication skills

• Research practical ML algorithms for video technology development
• Collaborate with team members to develop ML-based video approaches
• Solve challenging problems in uncharted technical territories
• Redefine the video experience for billions of users
• Implement custom operations in CUDA for ML applications

• 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.