The Video Computer Vision org at Apple is seeking a 3D Computer Vision and Machine Learning Engineer to advance their real-time on-device Computer Vision and Machine Perception technologies. This role involves collaborating with a team of passionate researchers and engineers to develop algorithms for spatial media and AI. The ideal candidate will have a strong background in 3DCV, rendering techniques, and machine learning, and will be responsible for bringing innovative algorithms from research to product. A culture of learning and exploration is highly valued within the team.

• Proficient in C/C++, CUDA or other GPGPU technologies
• Expertise in at least one deep learning framework such as PyTorch, TensorFlow, or Jax
• Solid foundation in 3D graphics and computer vision
• Understanding of machine learning technology
• Bachelor's degree and a minimum of 3 years relevant industry experience
• Swift programming knowledge is a plus
• Ability to work independently and collaboratively
• Excellent problem-solving, critical thinking, and communication skills
• Passion for cutting-edge AI and spatial computing technologies

• Design and implement algorithms for spatial media and AI
• Collaborate with computer vision and machine learning researchers to develop world-class algorithms
• Push the boundaries of what is possible with spatial computing and AI
• Ensure algorithms resonate with users on a personal level
• Contribute to the advancement of the state of the art in 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.