Apple's AIML Data and ML Innovation organization is seeking a passionate Senior Data Infrastructure Engineer to revolutionize data processing for Siri, Search and Machine Learning products. This role focuses on building a unified data insights framework and processing system using technologies like Spark and Iceberg.
The position involves designing and implementing robust data processing frameworks to handle massive datasets that power AI features used by hundreds of millions of users globally. You'll work on optimizing performance, ensuring data quality, and building metrics platforms that drive innovation in machine learning applications.
As a senior engineer, you'll collaborate closely with diverse teams including Data Scientists, Analysts, and other Engineering teams to transform complex data into actionable insights. The role requires expertise in large-scale data processing, distributed computing, and modern cloud platforms like AWS and GCP.
The ideal candidate will have strong programming skills in Python and Scala, experience with machine learning data mining, and a deep understanding of data engineering principles. You'll be working at Apple's Seattle office, contributing to groundbreaking AI and ML initiatives while enjoying comprehensive benefits including competitive salary, stock options, and extensive healthcare coverage.
This is an opportunity to shape the future of Apple's AI capabilities while working with cutting-edge technologies and world-class teams. You'll be instrumental in building systems that improve products by using data as the voice of hundreds of millions of customers worldwide.