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 Senior Software Engineer, Ad Platforms - Cupertino, California, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Programming Languages
Computers - Platforms
Computers - Networks
Computers - Software Engineer
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200296195 / Latpro-3831698 
Date posted: Oct-13-2021
State, Zip: California, 95014


Senior Software Engineer, Ad Platforms

Santa Clara Valley (Cupertino) , California , United States

Software and Services


Posted: Oct 11, 2021

Role Number: 200296195

At Apple, we work every single day to build products that enrich people's lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and visionary content on their devices while helping publishers and developers promote and monetise their work. Our technology and services power advertising across Apple's services. It sits at the very core of the strategically important pillars in the services' strategy. Our platforms are highly-performant, deployed at scale, push state of the art ML/DL models and sets new standards for enabling personalised content 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 involved large scale data infrastructure building as well the capability to do big data analysis. Detecting meaningful data patterns; assuring the integrity and breadth of the data; measuring user, campaign and app performance; and finally analysing the results of extremely large-scale experiments. In addition, the successful candidate will also 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 utilising the best of aggregated server and on-device data.

Key Qualifications

  • 7 or more years of industry experience building scalable micro services or data driven platforms.
  • Strong computer science fundamentals.
  • Strong experience with Java/Scala/C++ or equivalent.
  • Expertise in NoSQL datastores ( e.g Cassandra )
  • Proficiency in data processing technologies (e.g Spark, Kafka, Hadoop, or similar technologies )
  • Experience designing scalable micro services.
  • Experience in Cloud technologies ( e.g AWS )
  • Proficiency in distributed systems and architecture
  • Demonstrated ability to work on complex problems and systems
  • Strong problem solving and debugging skills.
  • Good to have Devops tools knowledge i.e Kubernetes / terraform
  • 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
  • Exposure to applied machine learning, analytics is a plus
  • Experience in Ads domain is a plus


Core Engineering is a diverse, global, agile engineering team that moves smart and fast by consuming and optimising 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 organisation structure and offer flexibility to work on a variety of 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 information retrieval scenarios. - Build shared capabilities like Authentication, Authorisation, information control flow, efficient data pipelines 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 content-serving systems.

Education & Experience

Bachelor's / Masters degree in Computer Science or equivalent is required.


See job description


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