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 deep learning, particularly in areas like reward modeling and natural language processing. Candidates will collaborate with a team of engineers and scientists to address challenging issues in foundation models and deep learning applications.

• 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.
• PhD or equivalent practical experience in Computer Science or a related technical field.
• Experience in building end-to-end voice models.
• Experience in speech recognition and generation.
• Experience in reinforcement learning and on-policy distillation.

• Engineer models specifically for Apple silicon and optimize them for privacy and integration into the OS.
• Work on solving frontier problems in reward modeling and handling sparse and delayed rewards.
• Collaborate with a close-knit team to tackle challenging problems in foundation models and deep learning.
• Apply deep learning techniques to real-world use cases and contribute to significant breakthroughs.
• Code large language models and work on post-training and mid-training approaches.

• 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.