At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.

Description

Ads Engineering builds ad tech the Apple way—privacy-preserving, user-centric, and built to scale. Our infrastructure supports massive real-time demand with low latency, precision, and global reach. Our work spans distributed systems, large-scale data infrastructure, LLMs, and Generative AI. We design and build best of breed systems for dealing with our complex and ever-growing platform needs that help deliver highly optimized advertising content to consumers.

Minimum Qualifications

Experience building scalable microservices or data-driven platforms through internships, co-ops, research, or large academic or personal projectsStrong computer science fundamentals, including data structures, algorithms, and object-oriented designStrong proficiency in at least one object-oriented programming language (e.g., Java, C++, or equivalent)Solid understanding of backend distributed systems and microservice design principlesAbility to build and integrate with REST APIs and public cloud technologies and APIsFamiliarity with cloud paradigms (e.g., AWS or GCP)Working knowledge of relational and non-relational datastoresWorking knowledge of basic performance tuning techniques for high-scale servicesExperience writing automated unit and integration tests for backend servicesStrong problem-solving and debugging skillsFamiliarity with or strong interest in using AI developer tools (e.g., AI coding assistants, automated code generation) to speed up development and improve code qualityExcellent written and verbal communication skills for team collaborationEager to learn in a fast-paced environment and contribute to team projectsBachelor's degree in Computer Science/Engineering or equivalent is required

Preferred Qualifications

Proficiency in JavaFamiliarity with data processing technologies (e.g., Kafka, Spark, Flink)Experience integrating Large Language Models (LLMs) or building AI-driven backend servicesMaster's degree in Computer Science or a related fieldInterest in or prior exposure to the advertising industry is a plus

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Software Engineer, Ad Platforms

Description

Minimum Qualifications

Preferred Qualifications