The Special Projects team at Apple is focused on developing innovative user-facing conversational features using advanced foundation models. The team aims to create complex simulated scenario data to train and evaluate agentic AI models. The role of a Data Scientist involves generating large synthetic datasets and analyzing the differences between simulated and real data. Successful candidates will collaborate closely with Simulation and Machine Learning Evaluations teams to enhance AI model performance.

• BA or Master's degree in Computer Science, Data Science, or a related field
• 2+ years of hands-on experience working with large data sets
• Proficiency in Python
• Excellent communication skills
• PhD in Computer Science, Data Science, Statistics, or other STEM field
• Hands-on industry experience with product-focused statistical analysis
• Experience working with large-scale multimodal data and data-annotation pipelines
• Experience working with simulations to produce large datasets
• Experience with experimental design, A/B testing, and Failure Analysis
• A track record of publications or technical presentations in Data Science
• Excellent cross-functional collaboration skills

• Generate large synthetic datasets for training and evaluating AI models
• Analyze the gap between simulated and real data
• Evaluate and fine-tune agentic AI model performance across various tasks
• Collaborate with Simulation and Machine Learning Evaluations teams
• Translate subjective product requirements into objective criteria
• Manage large, multi-modal datasets
• Conduct statistical analysis to support product development

• 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.