The AIML Data Engineer role focuses on building and maintaining the data infrastructure that supports AI-driven customer experience measurement at Apple. The position is part of the AppleCare Customer Insights team, which aims to redefine how Apple evaluates and enhances generative support experiences. This role combines data engineering and analytics to create pipelines, conduct investigations, and provide actionable insights to program managers and leadership. The engineer will also partner with teams to diagnose performance shifts and uncover trends in support conversation data.

• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field (or equivalent experience)
• 4+ years of experience in data engineering or analytics engineering
• Strong proficiency in SQL and Python for both data engineering and analytical investigation
• Experience with cloud data platforms such as Snowflake or Databricks
• Experience with ETL/ELT tools and pipeline orchestration like dbt or Airflow
• Demonstrated ability to conduct root cause analysis and translate data findings into actionable recommendations
• Experience with version control systems like Git and CI/CD practices
• Experience building data pipelines supporting LLM-based systems
• Experience with data visualization tools such as Tableau or Streamlit
• Familiarity with NLP data preparation techniques
• Experience with streaming or event-driven data architectures like Kafka
• Experience with data quality and observability tools
• Understanding of concept drift detection and model monitoring pipelines
• Experience supporting program or product teams with investigative analytics in a customer experience domain

• Build and maintain data pipelines that ingest and transform support conversation data.
• Design and implement model-ready data formats and scoring workflows.
• Deliver telemetry and analytics to provide insights into AI-powered support performance.
• Conduct root cause analysis and targeted investigations to diagnose performance shifts.
• Partner with program managers to surface trends and actionable insights from data.
• Consolidate data pipeline orchestration, feature engineering, and investigative analysis into a single role.

• 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.