The role is for a proactive Computer Vision and Machine Learning Engineer who will join a dynamic team focused on designing and implementing advanced algorithms for spatial computing and artificial intelligence. The ideal candidate will work closely with researchers to develop multimodal deep learning models optimized for edge deployment. This position emphasizes translating cutting-edge research into production-ready solutions that enhance user experiences. The engineer will also tackle complex technical challenges at the intersection of perception, intelligence, and real-time processing.

• BS and a minimum of 20 years in software engineering, computer vision, machine learning or related fields
• Experience in deep learning frameworks such as PyTorch
• Proficiency in Python development, using best coding practices
• M.S. or Ph.D. in computer vision, machine learning or related fields
• Excellent math skills, including linear algebra, computational science and optimization
• Creativity and curiosity for solving highly complex problems
• Excellent communication and collaboration skills
• Hands-on experience of working with sensors and hardware
• An interest in incubating ideas and taking them to finish
• Experience shipping algorithms or publishing in top tier CVML conferences

• Collaborate closely with computer vision and machine learning researchers to develop world-class algorithms.
• Focus on building multimodal deep learning models optimized for edge deployment.
• Leverage sensor fusion techniques to enable intelligent, real-time perception in resource-constrained environments.
• Apply breakthrough research to solve real-world problems.
• Optimize model efficiency for on-device inference.
• Ensure algorithms perform flawlessly in production.
• Push the boundaries of what is possible when sophisticated machine learning meets spatial computing.

• 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.