The Siri and Information Intelligence team is seeking a senior Machine Learning Engineer to enhance intelligent search applications using machine learning. This role focuses on developing LLMs and NLP models to improve Siri's ability to answer personal domain questions while prioritizing user privacy. The engineer will contribute to research and implementation of novel techniques in query understanding and response generation. The position involves collaboration with partner teams to define product requirements and enhance the Personal Q&A stack.

• 8+ years of industry experience in Machine Learning and NLP.
• Strong software engineering skills in Python, Go, or C/C++.
• Experience using ML frameworks such as PyTorch, JAX, TensorFlow, or XGBoost.
• In-depth knowledge of training and applying Deep Learning models and Large Language Models.
• Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, or a related field, or equivalent industry experience.

• Contribute to the research, design, implementation, and evaluation of models to enhance quality and performance for Personal Q&A.
• Implement and extend LLM models using fine-tuning and RLXF methodologies.
• Develop high-quality data pipelines to support machine learning methodologies.
• Establish target quality metrics and evaluation sets to track and improve model performance.
• Collaborate with partner teams to define product requirements and explore enhancements to the Personal Q&A stack.
• Develop a long-term technical vision for Personal Q&A quality and integrate solutions into a larger roadmap.

• 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.