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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 - 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: 200236317 / Latpro-3785232 
Date posted: Apr-12-2021
State, Zip: California, 95014


Senior Software Engineer, Ad Platforms

Santa Clara Valley (Cupertino) , California , United States

Software and Services


Posted: Apr 12, 2021

Weekly Hours: 40

Role Number: 200236317

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. Ads ML Experimentation team is looking for a Senior Software Engineer to build the next generation of software platform and systems to advance experimentation that connect millions of global users to content from publishers and developers. Your work will drive the experimentation framework development of machine learned algorithm at scale. You will build sophisticated systems essential in the end-end development of predictive algorithms. You will design and engineer tools for managing AB test experiments, for automating distributed model training pipelines, for performing exploratory analysis, for computing data signals in feature stores and for serving real-time prediction that react to real-time signals, while preserving privacy of our customers.

Key Qualifications

  • Extraordinary software engineering skills designing and building complex large-scale and distributed software systems in cloud computing environments like AWS
  • Strong experience in machine learning methodology, experimentation frameworks and A/B testing
  • Fluency in programming languages like Java, Scala, Python and SQL
  • Familiarity with data-oriented workflow orchestration frameworks like Airflow, Kubeflow, etc.
  • Experience with event stream processing (ESP) technologies like Spark Streaming, Kafka, Flink or equivalent
  • Proven ability to implement and extend highly performant, resilient and reliable backend systems
  • Experience with backend object stores, automated data pipelines, cloud-native data storage and processing frameworks
  • Proficiency on developing containers like Docker and Kubernetes
  • Strong experience with Spark, Hadoop, HIVE, Kafka, Cassandra or other distributed systems
  • Hands on experience with top agile methodologies: test driven development and CI/CD environments
  • Familiarity with statistics and ability to use data analysis techniques to understand data quality, profile system loads, relationships between business metrics, and technical performance
  • Clear and effective communicator, a creative problem solver and a thoughtful decision maker


You will be one of the founding members of the new ML Experimentation team; you will design and build a new generation of ML platform and core infrastructure for the Ads Platform organization. You will apply leading-edge technologies to deliver extraordinary innovation experiences to Apple users and advertisers while delivering on Apple's privacy commitments. Your work will be essential in full cycle of algorithm innovation from hypothesis, feature engineering, AB test management, to model training and deployment to online inference services and predictive applications in production. You will join and contribute to a culture that emphasizes observability and understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity and productivity. We are one team, nurturing each other's growth and supporting each other in delivering for our customers and Apple.

Education & Experience

BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field; and experience designing, building, maintaining, and extending web-scale production systems, with exposure to AB testing and machine learning methodologies.


See job description


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