As an engineer on our team, you will focus on researching practical machine learning algorithms to advance video technology for Apple products. This role requires a highly ambitious and self-directed individual who thrives on solving complex problems at the forefront of deep learning and compression research. You will collaborate with colleagues to develop innovative ML-based video approaches that will enhance the video experience for billions of users. Your expertise will be crucial in navigating uncharted technical territories.

• BS and a minimum of 3 years relevant industry experience
• 3+ years of hands-on experience in ML research, which can include 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
• Software skills in common ML tools such as PyTorch or TensorFlow
• Knowledge of ML and specifically deep learning principles, model prototyping and architecture design, training procedures, visualization and debugging methodology, and objective function design
• Ph.D. or Master's degree in Computer Science, Electrical Engineering, or closely related fields
• Experience implementing custom ops in CUDA
• Experience in designing practical ML implementations and having ML experience in industry
• Experience with generative modeling, optical flow, perceptual quality, ML for video or data compression
• Excellent written and oral communication skills

• Research and develop ML algorithms for video technology.
• Collaborate with team members to create ML-based video approaches.
• Solve challenging problems in deep learning and compression research.
• Implement custom operations in CUDA for machine learning applications.
• Stay updated with the latest innovations in machine learning and computer vision.

• 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.