The Computational Imaging team at Apple is focused on developing innovative algorithms and camera pipelines for mobile devices like the iPhone and iPad. This role involves working with advanced generative techniques and collaborating with product, design, and research teams to enhance the photography experience. Candidates should be passionate about creating new imaging algorithms and improving mobile photography. The position requires a strong foundation in computer vision and deep learning, along with hands-on experience in the field.

• PhD or MS with at least 3 years of industry experience.
• Solid foundation in image processing, computer vision, and deep learning fundamentals.
• Expertise in image processing, computer vision, and deep learning.
• Strong experience with deep learning frameworks such as PyTorch.
• Proven experience with training and developing generative models.

• Design novel generative model architectures and training strategies for vision applications.
• Fine-tune and adapt pre-trained models for specific use cases.
• Build scalable and robust data pipelines for large-scale image and video datasets.
• Develop comprehensive evaluation frameworks for model performance assessment.
• Conduct deep technical analysis and identify research directions.
• Participate in code reviews and technical discussions.
• Communicate complex technical concepts through clear documentation.
• Stay current with the latest research in generative AI 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.