Apple's ML Data Operations group is looking for a Data Operations Engineer to support internal data collection for consumer machine learning features. This role involves working closely with Apple scientists and engineers to develop a technical understanding of machine learning experiments. The position requires hands-on execution and quality oversight of data collection studies in a collaborative environment. The ideal candidate will be passionate about innovation and eager to tackle unique challenges.

• 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.
• A track record of partnering with ML engineers or researchers to define data requirements and quality standards.
• 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.
• Experience working directly with engineering and science teams and reading technical documentation.
• Familiarity with handling sensitive human data and adhering to privacy and consent protocols.
• 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.