This role involves working on large scale machine learning and deep learning research to enhance Open Domain Question Answering and Summarization for Apple products. The team focuses on developing advanced machine learning models, particularly Large Language Models, to improve user interactions with Apple Intelligence features. You will collaborate with researchers and data scientists to translate cutting-edge research into production-ready technologies. The position requires a strong background in reinforcement learning and natural language processing.

• 1+ years of machine learning experience in search, natural language processing, or conversational AI.
• Proven experience in LLM post-training techniques such as SFT, RLHF, RLAIF, and Reward Modeling.
• Hands-on experience building reinforcement learning pipelines and training agents in various environments.
• MS or Ph.D. in Computer Science, Machine Learning, or a related field with a focus on reinforcement learning.
• Deep expertise in reinforcement learning algorithms and large language model post-training.

• Design and develop advanced Reinforcement Learning technologies for generative models.
• Drive cross-functional technical initiatives and collaborate with research and engineering teams.
• Develop novel reinforcement learning algorithms and enhance existing ones.
• Stay updated with the latest reinforcement learning research and integrate best practices.
• Manage the end-to-end machine learning lifecycle including algorithm design, data collection, model training, evaluation, and deployment.

• 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.