The Machine Learning Engineer will join Apple's CVML team, focusing on designing and implementing advanced algorithms for multimodal sensor fusion. This role requires collaboration with hardware, software, and user-experience teams to create innovative algorithms that enhance user experiences. The engineer will work on developing deep learning models optimized for edge deployment and will address complex real-world problems. The position emphasizes the application of deep learning to non-vision signals and aims to push the boundaries of machine learning in spatial computing.

• B.S. and 3 years of experience in software engineering, deep learning, sensor fusion, or related fields.
• Experience in deep learning frameworks such as PyTorch.
• Proficiency in Python development, using best coding practices.
• Ph.D. or M.S. with 3+ years of industry experience in deep learning or related fields.
• Excellent math skills, including linear algebra, computational science, and optimization.
• Hands-on experience working with sensors and hardware.
• Experience shipping algorithms or publishing in top-tier AIML conferences.

• Collaborate closely with hardware, software, and user-experience teams to develop world-class algorithms.
• Drive the development of multimodal deep learning models optimized for edge deployment.
• Evaluate breakthrough research and solve complex real-world problems.
• Architect model efficiency strategies for on-device inference.
• Ensure algorithms perform flawlessly in production at scale.
• Establish best practices and technical direction for the team.

• 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.