The ML Data Researcher role at Apple involves tackling the challenges of collecting multi-modal human data and establishing reliable ground truth. You will work within a dynamic team to design and conduct experiments aimed at improving data collection methods. The focus is on reducing subjectivity and enhancing signal quality to aid in the development of multi-modal models. This position offers the opportunity to contribute to groundbreaking products that will impact millions of customers.

• BS in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field
• Hands-on experience in a data-oriented, experimentation-heavy role, ideally supporting ML model development
• MS/PhD in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field
• 10 years of relevant industry experience
• Experience with multi-modal human data and the challenges of establishing ground truth for such data
• Familiarity with human probing/annotation methods and inter-rater reliability techniques
• Experience designing data collection experiments and interpreting their effect on model training/convergence
• Outstanding communicator with the ability to present complex technical findings to diverse audiences
• Collaborative team player who thrives in multidisciplinary, cross-functional environments

• Design and conduct experiments on data collection methods to improve signal quality.
• Reduce subjectivity in multi-modal human data collection.
• Enhance the convergence speed and performance of multi-modal models.
• Collaborate with team members to interpret the effects of data collection on model training.
• Present complex technical findings to diverse audiences.

• 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.