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 projects
Strong computer science fundamentals, including data structures, algorithms, and object-oriented design
Strong proficiency in at least one object-oriented programming language (e.g., Java, C++, or equivalent)
Solid understanding of backend distributed systems and microservice design principles
Ability to build and integrate with REST APIs and public cloud technologies and APIs
Familiarity with cloud paradigms (e.g., AWS or Google Cloud Platform)
Working knowledge of relational and non-relational datastores
Working knowledge of basic performance tuning techniques for high-scale services
Experience writing automated unit and integration tests for backend services
Strong problem-solving and debugging skills
Familiarity with or strong interest in using AI developer tools (e.g., AI coding assistants, automated code generation) to speed up development and improve code quality
Excellent written and verbal communication skills for team collaboration
Eager to learn in a fast-paced environment and contribute to team projects
Bachelor's degree in Computer Science/Engineering or equivalent is required
Preferred Qualifications
Proficiency in Java
Familiarity with data processing technologies (e.g., Kafka, Spark, Flink)
Experience integrating Large Language Models (LLMs) or building AI-driven backend services
Master's degree in Computer Science or a related field
Interest in or prior exposure to the advertising industry is a plus
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: f17ff1d5244c669abfda7382dd711184
- Posted 1 day ago
