The AI, Search & Knowledge Platforms team at Apple is focused on building innovative products and services that enhance user experiences through advanced AI and machine learning technologies. This role involves conducting large-scale machine learning and deep learning research to improve Open Domain Question Answering and Summarization. The position requires collaboration with researchers and data scientists to develop and fine-tune domain-specific Large Language Models for various applications. Candidates will have the opportunity to shape upcoming products while working in a fast-paced and dynamic environment.

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 6 years of experience in LLM fine-tuning techniques such as Supervised Fine-tuning and Preference-based fine-tuning.
• Experience with deep learning or LLM model development for NLP tasks and RAG applications.
• Proficiency in Python and at least one deep learning framework like TensorFlow, PyTorch, or JAX.
• At least 4 years of experience in large-scale model training, optimization, and deployment.
• Outstanding communication and interpersonal skills.

• Conduct research and development on state-of-the-art deep learning and large language models.
• Develop, fine-tune, and evaluate domain-specific Large Language Models for various NLP tasks.
• Conduct applied research to transfer cutting-edge generative AI research to production-ready technologies.
• Understand product requirements and translate them into modeling and engineering tasks.
• Stay up to date with the latest advancements in deep learning and large language models.

• 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.