Software Engineer, Ad Platforms

Santa Clara Valley (Cupertino), California, United States
Software and Services


Weekly Hours: 40
Role Number:200213590
At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. We are looking for an ambitious individual who can thrive in an agile environment. You will develop distributed systems and apply cutting edge algorithms and ML models to improve relevance across a range of advertising applications. The position involves building large scale data infrastructure as well as the capability to analyze big data. Detecting meaningful data patterns; assuring the integrity and breadth of the data; measuring user, campaign and app performance; and finally analyzing the results of extremely large-scale experiments. In addition, the successful candidate will apply advanced ML techniques for federated learning where privacy mechanisms are safeguarded at the very onset and delightful relevance experiences are built by applying encryption techniques, on-device segmentation, advanced language models, ranking algorithms by utilizing the best of aggregated server and on-device data.

Key Qualifications

  • 2 or more years of industry experience building scalable micro services or data driven platforms.
  • Strong computer science fundamentals.
  • Prior experience with Java/Scala/C++ or equivalent.
  • Expertise in NoSQL datastores ( e.g Cassandra )
  • Proficiency in data processing technologies (e.g Kafka, Spark, Flink )
  • Experience designing scalable micro services.
  • Familiarity with cloud paradigms ( e.g AWS )
  • Demonstrated ability to work on complex problems and systems
  • Strong problem solving and debugging skills.
  • Have the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
  • A desire to work in a fast-paced and challenging work environment


We are a diverse, global, agile engineering team that moves smart and fast by consuming and optimizing readily-available technology, collaborating to improve and scale capabilities across businesses and use cases, and sharing our own innovative solutions so everyone can benefit. We are not constrained by organization structure and offer flexibility to work on a variety of full-stack and backend systems and we have fun doing it! You will: • Collaborate with product management to define external APIs for campaign management. • Design and implement performant AI/ML platforms for online prediction. • Build shared capabilities like Authentication, Authorization etc to support multiple internal and external partners • Implement low latency, highly - available, high volume user facing ad-serving systems in a cloud environment. • Engineer secure and scalable distributed data processing systems that generate data required for online ad-serving systems.

Education & Experience

Bachelor's degree in Computer Science or equivalent is required; Master's degree preferred

Additional Requirements