The ML Data Ops team at Apple is seeking an exceptional engineering lead who is passionate about Apple products and data operations at scale. This role focuses on improving complex ML data pipelines and data infrastructure to support AI-centric features across various Apple products. The team is dedicated to acquiring, synthesizing, annotating, and ensuring the quality of ML data in collaboration with R&D teams. The successful candidate will have the opportunity to positively impact critical features from day one.

• Bachelor's, Master's, or PhD in Computer Science, Mathematics, Physics, or a related field, or equivalent practical experience.
• 7+ years of industry experience as a software engineer, including 2+ years as a tech lead or architect specialized in data infrastructure.
• Proven experience designing, automating, and scaling large data pipelines, preferably at petabyte scale.
• Expertise in Python or another modern programming language.
• Strong ability to design and lead a technical roadmap and work with cross-functional teams.
• Demonstrated experience in foundation models and building data infrastructure for generative technologies.
• Self-starter with the ability to handle ambiguity and identify risks.

• Establish and execute the strategy for the organization's ML data engine.
• Mentor and grow engineers within the ML data ops team.
• Design and improve complex ML data pipelines and infrastructure.
• Collaborate with R&D teams to drive features based on high-quality ML datasets.
• Influence and build alignment across diverse teams and profiles.

• 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.