The team at Apple is focused on building foundation models and enhancing them through post-training techniques. They are seeking researchers who are passionate about areas such as Supervised Fine-Tuning and Reinforcement Learning. The role involves working on high-quality models that integrate seamlessly with Apple products while addressing complex challenges in model alignment and reward modeling. Candidates will contribute to the development of models optimized for Apple silicon and private user experiences.

• Demonstrated expertise in deep learning with a focus on LLMs, post-training, or reinforcement learning.
• Proficient programming skills in Python and one of the deep learning frameworks such as JAX or PyTorch.
• PhD or equivalent practical experience in Computer Science, Machine Learning, or a related technical field.
• Proven track record in post-training algorithms, techniques, and best practices for large foundation models.
• Deep experiences with human data labeling, synthetic data generation, and data quality assessment for foundation models.
• Experience in improving model performance on reasoning tasks such as math, coding, and logic.
• Experience training state-of-the-art large models at scale and familiarity with distributed training challenges.
• Strong communication skills and a passion for collaboration within and across teams.

• Transform powerful pre-trained checkpoints into high-quality models.
• Develop mid-training approaches that bridge general capability and task-specific performance.
• Solve complex problems in reward modeling and align models across various tasks.
• Evaluate data and training recipes while understanding the model building iterative process.
• Collaborate with cross-functional teams to enhance model performance.

• 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.