The Data Operations Engineer role at Apple involves supporting internal data collection efforts for consumer machine learning features. This position is part of the ML Data Operations group, where collaboration with Apple scientists and engineers is key. The engineer will be responsible for the execution and quality oversight of data collection studies in a fast-paced environment. A strong focus on technical understanding and adherence to privacy protocols is essential.

• Bachelor's degree in HCI, Cognitive Science, Psychology, Engineering, Operations, or equivalent experience.
• Experience supporting or executing human user studies, behavioral research, or data collection operations.
• 10 years of experience in user research operations, data collection coordination, or a related technical operations role.
• Hands-on familiarity with ML data pipelines, annotation tools, or dataset management practices.
• Strong interpersonal and written communication skills.

• Support internal data collection efforts for machine learning features.
• Coordinate logistics and develop a technical understanding of ML experiments.
• Oversee the execution and quality of internal data collection studies.
• Manage multiple concurrent internal studies with minimal oversight.
• Identify data anomalies and inconsistencies during live collection.

• 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.