The Senior Machine Learning Engineer will join Apple's computer vision and machine learning team, focusing on designing and implementing advanced systems for spatial computing and artificial intelligence. This role involves collaborating with researchers to develop world-class algorithms that enhance user experiences. The engineer will work on creating a unified context representation and a scalable framework for managing contextual insights. The position offers the opportunity to influence next-generation products that will impact millions of users.

• B.S. and 7+ years of experience in software engineering, computer vision, machine learning, or related fields.
• Strong experience in Python.
• Foundational understanding of machine learning, including familiarity with ML algorithms and development pipelines.
• M.S. or Ph.D. or 5+ years of industry experience in machine learning or related fields.
• Working experience in C++ or Swift.
• Excellent math skills, including linear algebra, computational science, and optimization.
• Creativity and curiosity for solving highly complex problems.
• Excellent communication and collaboration skills.
• An interest in incubating ideas and taking them to finish.
• Experience with iOS/macOS development.
• Experience shipping algorithms or publishing in top tier CVML conferences.

• Collaborate closely with computer vision and machine learning researchers to develop and ship algorithms.
• Drive the development of a unified context representation and a scalable, device-agnostic framework.
• Establish efficient mechanisms for managing dynamic and persistent contextual insights.
• Enable intelligent, personalized experiences through efficient management of contextual data.
• Apply breakthrough research to solve real-world problems and optimize model efficiency for on-device inference.
• Ensure algorithms perform flawlessly in production.

• 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.