This role involves working on frontier foundation models that enhance intelligent experiences at Apple. The team focuses on the entire training lifecycle, including pre-training and mid-training approaches tailored for Apple silicon. The position emphasizes solving complex problems in deep learning, particularly in reward modeling and aligning models for various tasks. Candidates will collaborate with a talented team to develop innovative applications of deep learning that impact billions of users.

• Demonstrated expertise in deep learning with a publication record in relevant conferences.
• Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorFlow.
• Ability to work in a collaborative environment.
• PhD or equivalent practical experience in Computer Science or a related technical field.

• Engineer models specifically for Apple silicon and optimize them for privacy and integration into the OS.
• Solve frontier problems in reward modeling and handle sparse and delayed rewards.
• Align models across various tasks from creative to precise workflows.
• Identify and develop novel applications of deep learning in Apple products.

• 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.