This role at Apple involves collaborating with R&D partners to define data requirements and implement ML Data Ops strategies. The focus is on enhancing data operations through innovative workflows that combine human and machine computation. The position requires managing complex projects across various teams to ensure high-quality datasets are delivered on time. Additionally, the role involves working closely with privacy, legal, and procurement teams to navigate data operations effectively.

• Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering or related field.
• 3 years of experience in the job offered or related occupation.
• Experience managing complex cross-team projects in AIML Data Ops.
• Proficiency in using JIRA and Confluence for project tracking.
• Experience with Python, SQL, Confluence, and Tableau for automation and reporting.
• Ability to provide executive summaries using Keynote, Numbers, and Pages.
• Experience identifying risks and developing mitigation strategies.

• Collaborate with R&D partners to define data requirements for model training.
• Design and implement ML Data Ops strategies optimized for feature collection and annotation.
• Drive enhancements of data operations to increase scalability, diversity, and quality.
• Coordinate data programs across internal data functions and other partners.
• Establish clear guidelines and training material for data operations.
• Collaborate with vendors to ensure tasks are calibrated appropriately.
• Track and report on quantity and quality metrics of data operations.

• 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.