The Ads Experimentation team at Apple is seeking a Machine Learning Engineer and Statistician to develop and support a state-of-the-art ads experimentation platform. This hands-on role involves collaborating with cross-functional teams to coordinate complex interdependencies in application development. The successful candidate will perform rigorous analyses, measure performance, and develop scalable tools for data-driven decision making. The position emphasizes a culture of observability, reliability, and productivity while nurturing team growth.

• 8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference.
• Advanced Degree in Computer Science, Statistics, Applied Math or related field.
• Experience with A/B testing infrastructure and methodologies.
• Familiarity with causal machine learning tools and technologies.
• Proficiency in SQL and Pyspark or Scala.

• Design and build a new generation of experimentation platform for the Ads Platform organization.
• Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods.
• Lead the design, development, and maintenance of scalable and reliable data pipelines.
• Work directly with stakeholders to identify, scope, and prioritize high-impact questions.
• Mentor junior engineers and scientists on the team.

• 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.