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 individual who thrives on solving technically meaningful problems at the forefront of machine learning, particularly in areas like computer vision and video generation. You will collaborate with colleagues to develop ML-based video approaches that enhance the user experience for billions. A strong analytical mindset is essential for navigating challenging and uncharted technical territories.

• BS degree and a minimum of 3 years of 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
• Proficiency in Python and software skills in common ML tools such as PyTorch or TensorFlow
• Knowledge of ML and specifically deep learning principles, model prototyping, and architecture design
• Experience implementing custom operations in CUDA
• Experience in designing practical ML implementations and having ML experience in industry
• Experience with generative modeling, optical flow, and ML for video or data compression
• Excellent written and oral communication skills

• Research and develop machine learning algorithms for video technology
• Collaborate with team members to create ML-based video solutions for Apple products
• Solve complex problems in machine learning and computer vision
• Stay updated with the latest innovations in machine learning and computer vision
• Implement and optimize deep learning models for practical 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.