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Senior ML Engineer - Experimentation

Apple

$181,100 - $318,400
Sep 17, 2025
Cupertino, CA, US
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At Apple, the business problem is to create products that enrich people’s lives, specifically in the Advertising Platforms group, which aims to enable effective advertising while protecting user privacy.

Requirements

  • Skilled at designing and building complex large-scale and distributed software systems in cloud computing environments like AWS
  • Strong experience in Experimentation frameworks, A/B testing and Machine Learning methodologies
  • Fluency in programming languages like Java, Scala, Python and SQL
  • Experience with event stream processing (ESP) technologies like Spark Streaming, Kafka, Flink or equivalent
  • Experience with backend object stores, automated data pipelines, cloud-native data storage and processing frameworks
  • Familiarity with data-oriented workflow orchestration frameworks like Airflow, Kubeflow, etc.
  • Familiarity with statistics and ability to use data analysis techniques to understand data quality, profile system loads, relationships between business metrics, and technical performance

Responsibilities

  • Build the next generation of software platform and systems to advance experimentation that connect millions of global users to content from publishers and developers
  • Drive the experimentation framework development of machine learned algorithm at scale
  • Build sophisticated systems essential in the end-end development of predictive algorithms
  • Design and engineer tools for managing AB test experiments, for performing exploratory analysis, and for real-time monitoring of experiment behavior, while preserving privacy of our customers
  • Partner with business leaders and stakeholders to design, implement and evolve the features of a multivariate experimentation platform
  • Promote experimentation best practices across the organization
  • Execute on the experimentation roadmap and future integrations with data-driven prioritization

Other

  • Excellent communication, social and presentation skills
  • Skilled at operating in a cross-functional organization
  • Ability to condense complex concepts and analysis into clear and concise takeaways that drive action
  • Degree in Computer Science, Statistics, Applied Math or related field
  • 5+ years of industry experience designing, building, maintaining, and extending web-scale production systems