Apple is seeking a Senior Machine Learning & Data Scientist to analyze high dimensional data and derive insights that will impact millions of users. The role focuses on developing data products to enhance Apple's software and hardware performance. Candidates should possess strong analytical, problem-solving, and communication skills. This position offers the opportunity to influence decisions across various teams at Apple.

• M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field.
• Strong quantitative foundation with expertise in statistical analysis and practical machine learning.
• Proficiency in distributed compute and storage technologies such as HDFS, S3, Iceberg, Spark, and Trino.
• Experience designing ETL flows and automation/scheduling using tools like Kubernetes and Airflow.
• Strong software engineering background with the ability to write production-level code.

• Analyze high dimensional data to derive meaningful insights.
• Produce metrics, models, simulations, and tools for analysis and communication of insights.
• Transform raw data into actionable insights through practical problem formulation and ETL processes.
• Communicate findings effectively to stakeholders and connect data insights to the company's overall strategy.
• Collaborate with diverse stakeholders and drive cross-functional projects.

• 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.