The role involves joining the Model Platform team to develop an on-device personal and contextual intelligence platform for Apple products. The team focuses on integrating machine learning and generative AI across various Apple platforms, including iOS and macOS. Engineers will collaborate with multiple teams to train, qualify, deploy, and serve models while adapting new architectures to execution constraints. This position directly impacts millions of Apple users by bringing cutting-edge research into practical applications.

• Strong understanding of OS architecture and systems programming fundamentals
• Excellent written and verbal communication skills
• Excellent software design, problem solving, and debugging skills
• Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications
• Exceptional professionalism with the ability to deliver solid work on tight schedules
• Development experience for iOS and/or macOS
• Development experience with Python
• Background architecting and building data or machine learning platforms

• Collaborate with teams across Apple on training, qualifying, deploying, and serving models
• Design and refine systems and APIs for Machine Learning and Generative AI
• Understand and adapt new model architectures to constraints of their execution environments
• Work with leadership across Apple to define policy
• Develop and improve unit tests and performance tests
• Diagnose and resolve customer reported issues

• 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.