The ML Data Team at Apple is seeking an exceptional software and data engineer who is passionate about Apple products and data operations at scale. This role involves building high-quality datasets that are critical for various Apple products and features. The team focuses on acquiring, synthesizing, annotating, and ensuring the quality of ML data in collaboration with R&D teams. The ideal candidate will thrive in a fast-paced environment and contribute to the continuous improvement of ML data pipelines.

• 7+ years of industry experience as a data engineer serving various ML applications, preferably in the vision domain.
• Bachelor's degree in Computer Science or a related field.
• Proven experience designing, automating, and scaling large data pipelines at petabyte scale using state-of-the-art processing technologies.
• Expertise in Python, Go, or another modern programming language with a focus on producing high-quality, efficient code.
• Strong ability to design and lead a technical roadmap and work with cross-functional teams.

• Acquire, synthesize, annotate, and ensure the quality of ML data.
• Drive numerous features in collaboration with R&D teams within Apple's SWE organization.
• Design and automate large data pipelines using advanced processing technologies.
• Mentor and grow engineers within the ML data ops team.
• Identify risks and autonomously find the right people and tools to complete tasks.

• 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.