This role is for a software engineer at Apple Ads, focusing on building privacy-focused advertising capabilities. The team is dedicated to delivering extraordinary customer experiences through advanced data engineering and machine learning. Engineers will collaborate closely with product managers and other engineers to drive value for developers and publishers. The position emphasizes reliability, efficiency, and continuous improvement in a fast-paced Agile environment.

• 1-4 years of experience in software engineering roles, ideally within the ads or media space
• Strong understanding of scalable approaches and experience working in Agile environments
• Proficiency in modern programming languages such as Rust, Python, Java, or Scala
• Experience with distributed systems and data processing technologies like Spark and Kafka
• BS/MS in Computer Science, Software Engineering, Distributed Systems, or a related field

• Engineer secure, scalable data and machine learning systems across various execution contexts using technologies like Spark and Kafka
• Own the design and delivery of core components, including pipeline architecture and ML model development
• Drive reliability, performance, and efficiency improvements across systems, including schema changes and testing infrastructure
• Collaborate with a team of engineers and product managers, participating in code and design reviews
• Contribute to on-call monitoring and continuous reliability improvements, leading incident response as needed

• 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.