AIML - Sr Data Engineer, Evaluation

Job Description

Join Apple's AIML Data Engineering team to build scalable and reliable data infrastructure that powers Siri, Search, and Machine Learning across Apple.

Requirements

• 7+ years of experience designing, building, and maintaining distributed data processing systems at scale.
• 5+ years of hands-on experience with batch and/or streaming data technologies such as Spark, Flink, Kafka, Presto, Hadoop and Iceberg.
• Strong data modeling and SQL skills and experience working with large-scale, complex, and high-dimensional datasets.
• Proficient in at least one modern programming language (e.g., Python, Java and Scala).

Responsibilities

• Build large-scale batch and streaming data pipelines for Analytics, Experimentation, and Machine Learning.
• Design instrumentation for accurate and reliable data collection on client and server sides.
• Validate data flows for structure, frequency, and quality.
• Develop self-serve tools for easier data consumption and scaling.
• Automate dataset lifecycles with strong quality standards.
• Help partners use data confidently for product insights.

Benefits

• 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.