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 work emphasizes solving complex problems in reward modeling and aligning models for various tasks. Candidates will collaborate with a team of engineers and scientists to address challenges in deep learning and natural language processing.

• Proven track record in training or deployment of large models or building large-scale distributed systems.
• Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow.
• PhD, or equivalent practical experience, in Computer Science or a related technical field.
• Ability to work in a collaborative environment.

• 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 in agentic settings.
• Align models reliably across a spectrum of tasks from creative to precise workflows.
• Work on real-world use cases in deep learning research, focusing on natural language processing and multi-modal understanding.

• 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.