We are looking for research scientists and engineers to drive innovations in machine learning, computer vision, and computer graphics, focusing on image and video synthesis, 3D reconstruction, and neural rendering. You will collaborate with a team of world-class researchers and engineers, contributing to technologies that enhance the Apple ecosystem. Our team values innovation, productivity, and a fun work environment while maintaining a strong publication record in prestigious conferences. Ideal candidates will have a solid foundation in both theoretical and practical aspects of machine learning.

• Publication record in relevant conferences such as CVPR, ECCV, ICCV, ICLR, ICML, NeurIPS, and SIGGRAPH.
• Significant experience building complete prototypes that achieve state-of-the-art performance.
• Comfortable across the entire machine learning research stack, from low-level system programming to high-level algorithm development.
• Solid software engineering skills in complex systems and fluency in Python.
• Expertise in machine learning algorithms and best practices for deep learning systems.
• Proficiency with machine learning modeling frameworks like PyTorch and Jax.
• Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, or equivalent experience.
• Research experience in 3D reconstruction, neural rendering, view synthesis, and image and video synthesis.

• Conduct research to develop innovative solutions in machine learning and computer vision.
• Collaborate with team members to prototype and implement cutting-edge technologies.
• Publish research findings in top-tier scientific journals and conferences.
• Maintain high standards of software development by delivering clean and well-tested code.
• Stay updated with the latest advancements in machine learning and related fields.

• 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.