Senior Software Engineer (Ads Platform) - Experimentation

Apple • Cupertino, CA

18h

About The Position

Apple’s Advertising Platforms group builds highly performant, large-scale advertising technology and services that support Search Ads in the App Store and Apple News while protecting user privacy. The Ads ML Experimentation team is seeking a Senior Software Engineer to develop software platforms and systems that advance experimentation and support machine-learned algorithms at scale. The role involves building systems for end-to-end predictive algorithm development and engineering tools to manage A/B test experiments, perform exploratory analysis, and monitor experiment behavior in real time.

The engineer will partner with business leaders and stakeholders to design, implement, and evolve features of a multivariate experimentation platform; promote experimentation best practices; and execute the experimentation roadmap and future integrations using data-driven prioritization. The role requires sound judgment in ambiguous situations and balancing short-term outcomes with long-term success. The team emphasizes observability, understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity, and productivity, and supports collaboration and shared growth.

Requirements

• Skilled at designing and building complex, large-scale, distributed software systems in cloud computing environments such as AWS.
• Strong experience with experimentation frameworks, A/B testing, and machine learning methodologies.
• Fluency in programming languages such as Java, Scala, Python, and SQL.
• Experience with event stream processing technologies such as Spark Streaming, Kafka, Flink, or equivalent.
• Experience with backend object stores, automated data pipelines, and cloud-native data storage and processing frameworks.
• Familiarity with data-oriented workflow orchestration frameworks such as Airflow or Kubeflow.
• Familiarity with statistics and ability to use data analysis techniques to assess data quality, profile system loads, examine relationships between business metrics, and evaluate technical performance.
• Excellent communication, social, and presentation skills.
• Skilled at operating in a cross-functional organization.
• Ability to condense complex concepts and analysis into clear, concise takeaways that drive action.
• Curious business attitude and proven ability to seek projects with a sense of ownership.
• 5+ years of industry experience designing, building, maintaining, and extending web-scale production systems.

Nice To Haves

• Prior experience in the advertising industry.
• Prior experience with advanced statistical methods and causal inference.
• Degree in Computer Science, Statistics, Applied Math, or a related field.
• Exposure to A/B testing and machine learning methodologies.

Responsibilities

• Design, implement, and evolve features of a multivariate experimentation platform in partnership with business leaders and stakeholders.
• Promote experimentation best practices across the organization.
• Execute the experimentation roadmap and future integrations using data-driven prioritization.
• Build software platform and systems that advance experimentation and support machine-learned algorithms at scale.
• Develop systems for end-to-end predictive algorithm development.
• Design and engineer tools for managing A/B test experiments, performing exploratory analysis, and monitoring experiment behavior in real time while preserving customer privacy.
• Make thoughtful decisions in ambiguous situations and balance short-term wins against long-term success.
• Contribute to a culture emphasizing observability, understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity, and productivity.
• Work cross-functionally and communicate complex concepts and analysis clearly to drive action.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed