This role at Apple involves designing, automating, and optimizing AI deployment pipelines for large-scale model serving. The position requires collaboration with machine learning engineers and infrastructure teams to integrate AI models into production. The focus is on ensuring data quality monitoring, validation, and anomaly detection for AI systems. Candidates will also be responsible for generating data labeling pipelines using LLMs for large-scale AI datasets.

• Bachelor's Degree or foreign equivalent in Cognitive Science, Computer Science, Machine Learning, or a related field
• 4 years of experience in the job offered or a related occupation
• 4 years of experience with implementing and developing metrics for quality measurement and monitoring
• 4 years of experience with designing, automating, and optimizing data ingestion and validation workflows
• 4 years of experience with integrating AI models into production and monitoring performance
• 4 years of experience with setting up CI/CD pipelines for AI-driven applications
• 4 years of experience with semi-supervised learning and synthetic data generation using LLMs
• 4 years of experience with developing software tooling in Python for data processing and automation
• 4 years of experience with communicating risks and insights related to model quality to stakeholders
• 4 years of experience with applying strong software engineering principles

• Design and automate AI deployment pipelines for large-scale model serving using Python and internal tools.
• Implement end-to-end data quality monitoring and anomaly detection for AI systems.
• Develop testing, benchmarking, and continuous evaluation frameworks for AI models.
• Collaborate with machine learning engineers to integrate and optimize AI models in production.
• Generate and automate data labeling pipelines using LLMs for large-scale AI datasets.

• 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.